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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2024.1495615</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Apolipoprotein E dysfunction in Alzheimer&#x2019;s disease: a study on miRNA regulation, glial markers, and amyloid pathology</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wijesinghe</surname> <given-names>Printha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Hao Ran</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ai</surname> <given-names>Zhengyuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2845965/overview"/>
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<contrib contrib-type="author">
<name><surname>Campbell</surname> <given-names>Matthew</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Si Xuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Xi</surname> <given-names>Jeanne</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Pham</surname> <given-names>Wellington</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Matsubara</surname> <given-names>Joanne A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Ophthalmology and Visual Sciences, Faculty of Medicine, Eye Care Centre, The University of British Columbia</institution>, <addr-line>Vancouver, BC</addr-line>, <country>Canada</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center</institution>, <addr-line>Nashville, TN</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center</institution>, <addr-line>Nashville, TN</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Djavad Mowafaghian Centre for Brain Health, The University of British Columbia</institution>, <addr-line>Vancouver, BC</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Simone M. Crivelli, Universit&#x00E9; de Lausanne, Switzerland</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Ying Jiang, Nathan S. Kline Institute for Psychiatric Research, United States</p>
<p>Manasee Gedam, Baylor College of Medicine, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Joanne A. Matsubara, <email>jms@mail.ubc.ca</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>16</volume>
<elocation-id>1495615</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Wijesinghe, Li, Ai, Campbell, Chen, Xi, Pham and Matsubara.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Wijesinghe, Li, Ai, Campbell, Chen, Xi, Pham and Matsubara</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Apolipoprotein E (ApoE) plays a crucial role in lipid homeostasis, predominantly expressed in astrocytes and to a lesser extent in microglia within the central nervous system (CNS). While the <italic>APOE4</italic> allele is the strongest genetic risk factor for late-onset Alzheimer&#x2019;s disease (AD), its precise role in AD pathogenesis remains elusive. <italic>Apoe</italic>-knockout (<italic>Apoe</italic>-ko) mice, mice expressing human <italic>APOE4</italic>, and human <italic>APOE4</italic> carriers exhibit similar deficits in lipid metabolism, cognitive and behavioral functions, and neurodegeneration. The retina, as part of the CNS, has been studied to investigate the underlying mechanisms of AD, including neuroinflammation, amyloid aggregation, and neurodegeneration. This study explores ApoE&#x2019;s role in AD by analyzing brain and eye samples from <italic>Apoe</italic>-ko mice, focusing on identifying potential retinal biomarkers associated with ApoE dysfunction.</p>
</sec>
<sec>
<title>Methods</title>
<p>We compared female <italic>Apoe</italic>-ko mice on a regular diet to age-matched C57BL/6J controls at 3 and 9&#x202F;months. Our investigations included microRNAs (miRNAs), their target messenger RNAs (mRNAs), and selected protein markers, including astroglial (Gfap), microglial/macrophage (Iba1 and Trem2) markers, and amyloid precursor protein (APP)/amyloid-&#x03B2; (A&#x03B2;) peptides implicated in AD pathogenesis. We also examined female <italic>Apoe</italic>-ko mice on a high-fat diet versus a regular diet at 9&#x202F;months for differential miRNA and mRNA expressions.</p>
</sec>
<sec>
<title>Results</title>
<p>Our findings demonstrated that miRNA levels were generally lower in 3-month-old <italic>Apoe</italic>-ko mice but increased in 9-month-old mice across five distinct brain regions, as well as in eye tissue and tear fluid. A high-fat diet further enhanced miRNA dysregulation in brain and eye tissues, but not in tear fluid. Target mRNAs were generally higher in the neocortex-hippocampus and eye tissue of 3-month-old <italic>Apoe</italic>-ko mice but decreased with age, except for glial cell mRNAs like <italic>Gfap</italic> and <italic>Aif1</italic>. Protein analysis revealed elevated Gfap expression, and increased APP/A&#x03B2; peptide accumulation in the neocortex-hippocampus, including brain endothelial cells at the meninges, as well as in the retina of 9-month-old <italic>Apoe</italic>-ko mice. These findings highlight ApoE&#x2019;s pivotal role in AD, demonstrating its impact on inflammatory and amyloidogenic/angiogenic miRNA expression, glial homeostasis, and APP/A&#x03B2; peptide clearance. The observed upregulation of proinflammatory miR-146a and anti-amyloidogenic/angiogenic miR-15a in 9-month-old <italic>Apoe</italic>-ko mice suggests their potential as tear-based biomarkers for ApoE dysfunction.</p>
</sec>
</abstract>
<kwd-group>
<kwd>apolipoprotein E</kwd>
<kwd>Alzheimer&#x2019;s disease</kwd>
<kwd>microRNAs</kwd>
<kwd>amyloid peptide</kwd>
<kwd>astroglia</kwd>
<kwd>microglia</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="92"/>
<page-count count="20"/>
<word-count count="13317"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Alzheimer's Disease and Related Dementias</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>In 2020, over 55 million people were living with dementia, a number expected to rise to 78 million by 2030 worldwide. Alzheimer&#x2019;s disease (AD) is responsible for 60&#x2013;80% of all dementia cases. The major underlying pathological hallmarks include the accumulation of amyloid-beta (A&#x03B2;) species and neurofibrillary tangles composed of paired helical filaments of hyperphosphorylated tau. There are two primary forms: sporadic or late-onset AD, which accounts for over 95% of cases, and familial or early-onset AD, which accounts for the remainder (<xref ref-type="bibr" rid="ref4">Bali et al., 2012</xref>). Inherited mutations in the amyloid precursor protein (<italic>APP</italic>), presenilin 1 (<italic>PSEN1</italic>) and presenilin (<italic>PSEN2</italic>) genes are linked to familial AD, while the etiology of sporadic AD remains complex, with polymorphisms in apolipoprotein E (<italic>APOE</italic>) and triggering receptor expressed on myeloid cells 2 (<italic>TREM2</italic>) being among the most common genetic risk factors (<xref ref-type="bibr" rid="ref23">Guerreiro et al., 2013</xref>). Specifically, the <italic>&#x03B5;4</italic> allele of the <italic>APOE</italic> increases the risk of developing sporadic AD, with individuals carrying one &#x03B5;4 allele having a 2- to 3-fold increased risk, and those with two <italic>&#x03B5;4</italic> alleles facing a 10- to 15-fold higher risk (<xref ref-type="bibr" rid="ref34">Kim et al., 2009</xref>; <xref ref-type="bibr" rid="ref75">Wijesinghe et al., 2016</xref>; <xref ref-type="bibr" rid="ref82">Yamazaki et al., 2019</xref>; <xref ref-type="bibr" rid="ref50">Narasimhan et al., 2024</xref>). ApoE isoforms differentially influence various aspects of AD pathology, including A&#x03B2; aggregation and clearance, tau pathology, innate immune response, synaptic integrity, glucose metabolism, cerebrovascular function, and age-related cognitive decline (<xref ref-type="bibr" rid="ref34">Kim et al., 2009</xref>; <xref ref-type="bibr" rid="ref42">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="ref58">Safieh et al., 2019</xref>; <xref ref-type="bibr" rid="ref82">Yamazaki et al., 2019</xref>; <xref ref-type="bibr" rid="ref56">Raulin et al., 2022</xref>).</p>
<p>ApoE functions as a ligand for lipoprotein receptors, facilitating lipoprotein clearance (<xref ref-type="bibr" rid="ref44">Lo Sasso et al., 2016</xref>). In the brain, cholesterol is vital for synapse formation and maintenance, with ApoE playing a critical role in regulating cholesterol homeostasis (<xref ref-type="bibr" rid="ref87">Zhang and Liu, 2015</xref>). Within the central nervous system (CNS), astrocytes and microglia, which express ApoE, perform essential immune and maintenance functions. However, under disease conditions, these glial cells can become dysfunctional, leading to chronic inflammation and neurodegeneration (<xref ref-type="bibr" rid="ref52">Parhizkar and Holtzman, 2022</xref>). In mice, the single <italic>Apoe</italic> isoform resembles the human <italic>APOE3</italic> allele (<xref ref-type="bibr" rid="ref10">Chen et al., 2012</xref>). <italic>Apoe-</italic>knockout (<italic>Apoe</italic>-ko) mice show delayed lipoprotein clearance, resulting in hyperlipoproteinemia, severe hypercholesterolemia, and atherosclerosis (<xref ref-type="bibr" rid="ref67">Tamminen et al., 1999</xref>; <xref ref-type="bibr" rid="ref71">von Holt et al., 2009</xref>; <xref ref-type="bibr" rid="ref12">De Le&#x00F3;n et al., 2014</xref>). Similarly, humans with the <italic>APOE4</italic> allele display elevated levels of total cholesterol, low-density lipoprotein (LDL), and oxidized LDL, which increases their risk of developing atherosclerotic plaques (<xref ref-type="bibr" rid="ref76">Wijesinghe et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">Culleton et al., 2023</xref>; <xref ref-type="bibr" rid="ref83">Yang et al., 2023</xref>). ApoE is also essential for maintaining synaptic integrity, plasticity, and dendritic complexity, as evidenced by studies in <italic>Apoe</italic>-ko mice (<xref ref-type="bibr" rid="ref16">Fitz et al., 2015</xref>; <xref ref-type="bibr" rid="ref39">Lane-Donovan et al., 2016</xref>). Both <italic>Apoe</italic>-ko mice and those expressing human <italic>APOE4</italic>, as well as individuals with the <italic>APOE4</italic> allele, exhibit similar impairments in lipid metabolism, cognitive function, and neurodegeneration (<xref ref-type="bibr" rid="ref42">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="ref31">Janssen et al., 2016</xref>; <xref ref-type="bibr" rid="ref73">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref15">Faraji et al., 2024</xref>).</p>
<p>As part of the CNS, the eye&#x2019;s retina has been studied by us and other researchers to investigate underlying AD mechanisms, including neuroinflammation, amyloid aggregation, and neurodegeneration (<xref ref-type="bibr" rid="ref40">Lee et al., 2020</xref>; <xref ref-type="bibr" rid="ref63">Sidiqi et al., 2020</xref>; <xref ref-type="bibr" rid="ref80">Xu et al., 2022</xref>; <xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>; <xref ref-type="bibr" rid="ref21">Gaire et al., 2024</xref>; <xref ref-type="bibr" rid="ref25">Hart de Ruyter et al., 2024</xref>). Our previous work highlighted the potential of tear-based microRNA (miRNA) biomarkers in AD pathogenesis by analyzing brain, eye, and tear samples from a transgenic AD (APP-PS1) mouse model at two different ages (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>). MiRNAs are small, noncoding, single-stranded RNA molecules, abundant in many mammalian cell types, highly conserved, and believed to target approximately 60% of human genes (<xref ref-type="bibr" rid="ref17">Friedman et al., 2009</xref>). A single miRNA can target multiple genes, and several miRNAs can target a single gene. MiRNAs are highly stable in the extracellular environment and have emerged as potential biomarkers for diagnostic and prognostic purposes.</p>
<p>Limited information is available regarding miRNA alteration in relation to ApoE dysfunction in AD. A prospective study of blood samples from patients with mild cognitive impairment (MCI) revealed a significant upregulation of miR-146a and miR-181a in individuals who later progressed to AD (<xref ref-type="bibr" rid="ref3">Ansari et al., 2019</xref>). Furthermore, elevated levels of miR-146a were associated with the presence of the <italic>APOE4</italic> allele, reduced hippocampal volume, and atrophy in the CA1 and subiculum subfields. <xref ref-type="bibr" rid="ref8">Cao et al., 2021</xref> established a mechanistic link between <italic>APOE4</italic> genotype-specific alterations in brain miR-195 expression and AD-related phenotypes, including phospholipid dysregulation, cognitive deficits, lysosomal dysfunction, and tau pathology. The authors demonstrated that miR-195 rescued <italic>APOE4</italic>-induced cognitive deficits in <italic>APOE4</italic>+/+ mouse hippocampal tissue and cultured neurons, as well as lysosomal defects in iPSC-derived brain cells from <italic>APOE4</italic>+/+ AD subjects.</p>
<p><italic>Apoe</italic>-ko mice are recommended for studying ApoE&#x2019;s role in AD (<xref ref-type="bibr" rid="ref53">Piedrahita et al., 1992</xref>). Recent studies have shown that these mice exhibit brain network alterations (<xref ref-type="bibr" rid="ref65">Stapleton et al., 2023</xref>), age-related behavioural changes (<xref ref-type="bibr" rid="ref20">Fuentes et al., 2018</xref>) and disrupted lipid and protein metabolism (<xref ref-type="bibr" rid="ref43">Liu et al., 2024</xref>), all associated with late-onset AD. In this study, we analyzed the expression levels of mature microRNAs (miRNAs), their target messenger RNAs (mRNAs), and selected glial proteins along with APP/ A&#x03B2; peptides involved in AD pathogenesis in brain and eye samples. We hypothesize that ApoE deficiency alters miRNA and mRNA expression levels, disrupts glial homeostasis and APP/ A&#x03B2; peptide clearance.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Animals</title>
<p><italic>Apoe</italic>-ko mice (B6.129P2-<italic>Apoe<sup>tm1Unc</sup></italic>/J, Strain #002052) and their suggested wildtype controls (C57BL/6&#x202F;J, Strain # 000664) at two different ages, 3&#x202F;months and 9&#x202F;months, were included (<italic>n</italic>&#x202F;=&#x202F;16, 4 per group, all females). Additionally, <italic>Apoe</italic>-ko mice raised on a high-fat (HFD) diet for 24&#x202F;weeks (Adjusted Calories Diet - 42% from fat, ENVIGO+++) starting at 4&#x202F;months of age, and those on a regular diet (RD) were studied at 9&#x202F;months old (<italic>n</italic>&#x202F;=&#x202F;4&#x2013;5 per group, all females). A total of 26 female mice were used in 6 groups: 3-month-old <italic>Apoe</italic>-ko, 9-month-old <italic>Apoe</italic>-ko, 3-month-old control, 9-month-old control, 9-month-old <italic>Apoe</italic>-ko with HFD diet, and 9-month-old <italic>Apoe</italic>-ko with RD, based on the resource equation method (<xref ref-type="bibr" rid="ref9">Charan and Kantharia, 2013</xref>). <italic>Apoe</italic>-ko mice develop fatty streaks in the proximal aorta at 3&#x202F;months of age. These lesions increase with age and progress to a more advanced stage, characterized by less lipid but more elongated cells, typical of pre-atherosclerotic lesions. In this study, different brain regions, eye tissues, and tear fluids were used to determine the expression levels of selected miRNAs at 3-month-old and 9-month-old ages. However, target mRNAs and protein markers were determined only in the neocortex-hippocampus and eye tissues.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Sample collection</title>
<p>This was done as previously described (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>). In summary, ketamine hydrochloride (80&#x202F;mg/kg) and xylazine hydrochloride (10&#x202F;mg/kg) were administered subcutaneously as anesthesia before tear fluid collection. Tear fluid was collected from both eyes using sterile Schirmer tear test strips and stored at &#x2212;80&#x00B0;C. Thereafter, the mice were sacrificed, and the brain and eyes were promptly removed. The left hemisphere was dissected into five regions: neocortex with hippocampus (region 1), olfactory bulb (region 2), striatum-thalamus-hypothalamus (region 3), brainstem (region 4), and cerebellum (region 5). The left brain hemisphere and left eye were used for miRNA and total RNA extractions, while the right hemisphere and right eye were used for immunofluorescence staining.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>MiRNA-target mRNA interaction</title>
<p>The expression levels of 8 mature miRNAs including miRs -101a-3p, &#x2212;125b-5p, &#x2212;140-3p, &#x2212;146a-5p, &#x2212;15a-5p, &#x2212;34a-5p, &#x2212;342-3p, and -374c-5p were determined (<xref rid="SM8" ref-type="supplementary-material">Supplementary Table S1</xref>). The mature sequences of these miRNAs are similar between <italic>Mus musculus</italic> and <italic>Homo sapiens</italic>. Our previous work has already tested these miRNAs in the brain and eye samples of transgenic APP-PS1 AD mice (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>).</p>
<p>Target genes of these miRNAs were identified via TargetScan 7.2 (<xref ref-type="bibr" rid="ref2">Agarwal et al., 2015</xref>) based on conserved seed regions. miRNA- target gene interactions are visualized using Cytoscape version 3.10.1 (<xref ref-type="bibr" rid="ref60">Shannon et al., 2003</xref>). This includes amyloid beta precursor protein (<italic>App</italic>), presenilin 1 (<italic>Psen1</italic>), beta-site APP cleaving enzyme (<italic>Bace1</italic>), sortilin-related receptor LDLR class A repeats-containing (<italic>Sorl1</italic>), calcium voltage-gated channel subunit alpha1 C (<italic>Cacna1C</italic>), microtubule associated protein tau (<italic>Mapt</italic>), Rho associated coiled-coil containing protein kinase 1 (<italic>Rock1</italic>), glial fibrillary acidic protein (<italic>Gfap</italic>), signal transducer and activator of transcription 3 (<italic>Stat3</italic>), leukemia inhibitory factor (<italic>Lif</italic>), vascular endothelial growth factor A (<italic>Vegfa</italic>), autophagy related 12 (<italic>Atg12</italic>), sirtuin 1 (<italic>Sirt1</italic>), B cell leukemia/lymphoma 2 (<italic>Bcl2</italic>), brain derived neurotrophic factor (<italic>Bdnf</italic>), complement factor h (<italic>Cfh</italic>), and organic cation transporter novel type 1 (<italic>Slc22a4</italic>). Additionally, three target genes associated with A&#x03B2; clearance and inflammation, including aquaporin 4 (<italic>Aqp4</italic>), allograft inflammatory factor 1 (<italic>Aif1</italic>), and triggering receptor expressed on myeloid cells 2 (<italic>Trem2</italic>) were included. A total of 20 target mRNAs were screened in the neocortex-hippocampus and eye tissue (<xref rid="SM9" ref-type="supplementary-material">Supplementary Table S2</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Functional enrichment pathway analysis</title>
<p>Each miRNA tested in this study underwent functional enrichment pathway analysis, which included identifying target genes, the number of genes involved in each Reactome pathway, and significant <italic>p</italic>-values, based on strong experimental evidence using miRPathDB 2.0 (<xref ref-type="bibr" rid="ref33">Kehl et al., 2020</xref>). The Database for Annotation, Visualization, and Integrated Discovery (DAVID) (<xref ref-type="bibr" rid="ref62">Sherman et al., 2022</xref>) was used to determine the functional enrichment of target genes screened in this study, focusing on commonly involved Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome pathways. Additionally, target genes of these 8 mature miRNAs, identified by miRTarBase (<xref ref-type="bibr" rid="ref29">Huang et al., 2022</xref>) and validated through one of the three strong experimental methods (reporter assay, western blot, or qPCR) for <italic>Mus musculus,</italic> were subjected to Reactome pathway analysis.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>MiRNA extraction</title>
<p>The protocols were consistent with previous work (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>). miRNAs from tear fluids were extracted individually using the miRNeasy Serum/Plasma Kit, with 200&#x202F;&#x03BC;L supernatant homogenized in QIAzol lysis reagent containing MS2 RNA. <italic>Cel</italic>-miR-39 RNA oligos were added before chloroform. miRNAs from brain and eye tissues were extracted using the miRNeasy Mini Kit, with eye tissues processed individually and brain tissues pooled by strain, age group and anatomical region. <italic>Cel</italic>-miR-39 was also added to tissue samples before chloroform. miRNA quantity and quality were assessed before cDNA preparation.</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Single tube TaqMan advanced miRNA assay</title>
<p>As previously published (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>), the assays involved multiple stages: poly(A) tailing, adaptor ligation, reverse transcription (RT), miR-Amp amplification, and real-time PCR. Each assay began with 2&#x202F;&#x03BC;L of 10&#x202F;ng miRNAs extracted from tissue or tear fluid. RT-qPCR was performed using the 7,500 Fast Real-Time PCR System (Applied Biosystems), with each sample and miRNA analyzed in a minimum of three replicates. Normalization was done using the spike-in control <italic>Cel</italic>-miR-39, as described in our previous study (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>).</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Individual gene expression assay</title>
<p>Total RNA was extracted from pooled neocortex-hippocampus, and eye tissues (<italic>n</italic>&#x202F;=&#x202F;4 for <italic>Apoe</italic>-ko and control groups, and n&#x202F;=&#x202F;4&#x2013;5 for diet-based groups) using the RNeasy<sup>&#x00AE;</sup> Mini Kit. cDNA synthesis was performed with the SuperScript&#x2122; VILO&#x2122; cDNA Synthesis Kit. Approximately 10&#x202F;ng of cDNA was used for each reaction. RT-qPCR was conducted on a 7,500 Fast Real-Time PCR System. Glyceraldehyde-3-phosphate dehydrogenase (<italic>Gapdh</italic>) was used as a reference gene for data normalization. Three sets of primer pairs were tested for each gene, and the most effective primer pair was selected for the experiment (<xref rid="SM9" ref-type="supplementary-material">Supplementary Table S2</xref>) (<xref ref-type="bibr" rid="ref69">Untergasser et al., 2007</xref>). Each target gene was analyzed in at least three replicates per sample.</p>
</sec>
<sec id="sec10">
<label>2.8</label>
<title>Screening of 6E10-Gfap and Iba1-Trem2 protein markers in brain sagittal and eye cross sections</title>
<p>The right half of the brain and the right eye globe of the above animals were used for protein expression studies. Six-micrometer-thick mid-sagittal brain and eye cross sections were stained using a double immunofluorescence protocol as described in our previous work (<xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). Both <italic>Apoe</italic>-ko mice (<italic>n</italic>&#x202F;=&#x202F;4 in each age group: 3-month-old and 9-month-old) and control mice (n&#x202F;=&#x202F;4 in each age group: 3-month-old and 9-month-old) were evaluated. For APP/A&#x03B2; peptide detection, an 88% formic acid pretreatment was applied for 5&#x202F;min. This was followed by antigen retrieval, performed either with 0.05% proteinase K in Tris-EDTA buffer (pH 8.0) for 10&#x202F;min at room temperature (RT) or by heat-induced antigen retrieval in citrate buffer (pH 6.0) for 10&#x202F;min at a power level of 800 watts (<xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). The screening utilized primary antibodies, including inflammatory markers such as glial fibrillary acidic protein (Gfap, rabbit polyclonal, Cat# Z0334), a marker for astroglia; ionized calcium-binding adapter molecule 1 (Iba1, rabbit polyclonal, Cat# 019&#x2013;19,741), a marker for microglia/macrophage-specific calcium-binding protein; triggering receptor expressed on myeloid cells 2 (Trem2, rat monoclonal, Cat# MAB17291), a receptor found in microglia/macrophages; and 6E10 (mouse monoclonal, Cat# 803014, 1:200), which reacts to the 1&#x2013;16 amino acid residues of both A&#x03B2; peptides and APP, with an epitope nearly identical in human and mouse species (<xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). To validate the 6E10+ APP labeling, we used an additional knockout validated APP antibody (rabbit monoclonal, Cat# A17911) and the 12F4 antibody (mouse monoclonal, Cat# 805501) which is specific to A&#x03B2; 1&#x2013;42 amino acid residues. Secondary antibodies used for fluorescence confocal microscopy were Alexa Fluor<sup>&#x00AE;</sup> 488 goat anti-rabbit (Cat# 11070), Alexa Fluor&#x2122; 647 donkey anti-rabbit (Cat# 711605152), FITC goat anti-rat IgG2b (Cat# A110-111F), Alexa Fluor&#x2122; 546 goat anti-mouse IgG1 (Cat# 21123) and Alexa Fluor&#x2122; 546 goat anti-rabbit IgG1 (Cat# 11071). Negative control slides were processed without primary antibodies simultaneously.</p>
</sec>
<sec id="sec11">
<label>2.9</label>
<title>Fluorescence confocal microscopy and image analysis</title>
<p>Zeiss LSM800 confocal microscope equipped with ZEN 3.7 (blue edition) software was used for image acquisition.</p>
<sec id="sec12">
<label>2.9.1</label>
<title>Imaging parameters</title>
<p>Different fluorophores were used for different antibodies: Alexa Fluor<sup>&#x00AE;</sup> 546 for 6E10, Alexa Fluor<sup>&#x00AE;</sup> 488 for Gfap, Alexa Fluor<sup>&#x00AE;</sup> 647 for Iba1, FITC (491&#x202F;nm) for Trem2, and DAPI (461&#x202F;nm) for nuclear labelling. Each antibody was imaged at its corresponding wavelength. Confocal settings were kept constant for each marker and negative across the animal groups to maintain consistency and minimize variability.</p>
</sec>
<sec id="sec13">
<label>2.9.2</label>
<title>Magnifications and regions of interest</title>
<p>Brain sagittal and retinal cross sections were imaged at 200x magnification for 6E10-Gfap and Iba1-Trem2 double labelling. Minimum of 4 non-overlapping regions were captured for hippocampus (dentate gyrus (DG), cornu Ammonis 4 (CA4), CA3-CA2 and CA1) and neocortex (prefrontal, frontal, parietal and occipital). Minimum of 2 central, 2 mid and 2 peripheral regions were captured for retina.</p>
</sec>
<sec id="sec14">
<label>2.9.3</label>
<title>Image analysis</title>
<p>ImageJ software was used for the evaluation of immunoreactivity. Two or more independent investigators evaluated the images anonymously, ensuring unbiased analysis.</p>
<p>This protocol ensured thorough and systematic imaging and analysis allowing for reliable assessment of immunoreactivity in brain and retinal sections.</p>
</sec>
</sec>
<sec id="sec15">
<label>2.10</label>
<title>Data analysis</title>
<sec id="sec16">
<label>2.10.1</label>
<title>miRNA and mRNA expression analysis</title>
<p>Relative expression levels were determined using the comparative cycle threshold (Ct) method (<xref ref-type="bibr" rid="ref59">Schmittgen and Livak, 2008</xref>). Ct values were obtained at a constant threshold and baseline settings across the samples and miRNAs or mRNAs. Normalized Ct values were compared across animal groups and time points. The Shapiro&#x2013;Wilk test was used to assess normal distribution. For miRNA analysis in eye and tear samples, the Kruskal-Wallis test with Dunn&#x2019;s multiple comparisons test was employed. MiRNA analysis in pooled brain samples, and mRNA analysis in pooled brain and eye samples, were performed using a two-way ANOVA with Bonferroni-corrected multiple comparisons test. The Mann&#x2013;Whitney test was employed for miRNA analysis in eye and tear samples between high-fat diet and regular diet <italic>Apoe</italic>-ko mice. For miRNA and mRNA analysis in pooled brain samples, an unpaired t-test (2-tailed) was conducted between high-fat diet and regular diet <italic>Apoe</italic>-ko mice. Dysregulated miRNAs were defined by a statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) 2-fold intergroup difference, while differentially expressed target mRNAs were defined by a statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) 1.5-fold intergroup difference.</p>
</sec>
<sec id="sec17">
<label>2.10.2</label>
<title>Protein expression analysis</title>
<p>Pixel data normalized to area was screened for outliers using the ROUT (<italic>Q</italic>&#x202F;=&#x202F;1%) method across animal groups at two time points. Normality tests were conducted on the cleaned data. Immunoreactivity was analyzed using the Kruskal-Wallis test with Dunn&#x2019;s multiple comparisons test. The non-parametric Spearman r correlation test was conducted to assess the strength of associations between protein markers.</p>
<p>All statistical analyses and graph generation were performed using GraphPad Prism 10.3.0 (GraphPad Software Inc., San Diego, CA).</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="sec18">
<label>3</label>
<title>Results</title>
<p>The left hemisphere of the mouse brain was divided into five distinct regions for miRNA investigation was illustrated in <xref ref-type="fig" rid="fig1">Figure 1A</xref>. Conserved seed region-based (TargetScan 7.2) miRNA-target mRNA interactions, which were used to determine expression levels in the neocortex-hippocampus and eye tissue, are illustrated in <xref ref-type="fig" rid="fig1">Figure 1B</xref>. Each miRNA&#x2019;s top three functionally enriched Reatome pathways are summarized in <xref ref-type="table" rid="tab1">Table 1</xref>. These functional enrichments were based on robust experimental evidence; however, they were identified for human miRNAs (e.g., hsa-miR-146a-5p). According to miRPath DB 2.0, none of the mouse miRNAs (e.g., mmu-miR-146a-5p), despite sharing similar sequences, were significantly enriched in any pathway. Using miRTarBase, a total of 74 genes in <italic>Mus musculus</italic> were identified as validated targets of the miRNAs screened in this study. Of these, 58 (78.4%) were enriched in Reactome pathways (<xref ref-type="fig" rid="fig1">Figure 1C</xref>). Interestingly, both analyses (for human and mouse miRNAs) revealed significant enrichments for pathways associated with signal transduction, immune system, cytokine signaling, activation of kinases and apoptosis. Reactome pathway analysis for the 20 target genes screened in this study also revealed significant enrichment in pathways related to the immune system, cytokine signaling, activation of kinases and apoptosis (<xref ref-type="fig" rid="fig1">Figure 1D</xref>). Additionally, KEGG pathway analysis identified neurodegeneration&#x2014;multiple diseases (<italic>p</italic>&#x202F;=&#x202F;0.0011), AD (<italic>p</italic>&#x202F;=&#x202F;0.004), and the JAK&#x2013;STAT signaling pathway (<italic>p</italic>&#x202F;=&#x202F;0.003) as the only significant pathways enriched for the 20 target genes screened in this study.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>miRNA-mRNA interaction and functional enrichment pathway analysis. <bold>(A)</bold> Representative sagittal section of the mouse brain showing the five distinct regions dissected for miRNA analysis: neocortex-hippocampus (1), olfactory bulb (2), striatum-thalamus-hypothalamus (3), brainstem (4), and cerebellum (5). <bold>(B)</bold> Conserved seed sequence-based interactions between miRNAs and their target mRNAs. <bold>(C)</bold> Reactome pathways enriched for target genes identified by miRTarBase for the miRNAs analyzed in this study. <bold>(D)</bold> Reactome pathways enriched for the target genes tested in this study. Bar graphs display the pathways ranked by the most significant <italic>p</italic> values, along with the number of genes involved.</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g001.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Top Reactome pathway enrichments and target genes for tested miRNAs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">MiRNAs</th>
<th align="center" valign="top">Reactome pathways</th>
<th align="center" valign="top">Hits</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">Targets</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">miR-101-3p</td>
<td align="left" valign="top">Signaling by VEGF</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.004</td>
<td align="left" valign="top" rowspan="3">APP,CCND1,CDH5,CDK8,CFTR,CTNNB1,DUSP1,EED, EZH2,FOS,ITGA3,JAK2,MET,MTOR,NLK,NOTCH1, PIK3CB,PRKAB1,PTGER4,RAC1,RAP1B,RHOA,RUNX1, SOX9,SRF,STMN1,VEGFA,VEGFC</td>
</tr>
<tr>
<td align="left" valign="top">Signal Transduction</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Signaling by Receptor Tyrosine Kinases</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-125b-5p</td>
<td align="left" valign="top">Erythropoietin activates Phosphoinositide-3-kinase (PI3K)</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0.009</td>
<td align="left" valign="top" rowspan="3">BBC3, BCL2,BMF,CDKN2A,CDKN2D,E2F2,E2F3,EPO, EPOR,ETS1,HMGA1,HMGA2,JAK2,MAPK14,PIK3CB, PIK3CD,RPS6KA1,STAT3,TP53</td>
</tr>
<tr>
<td align="left" valign="top">BH3-only proteins associate with and inactivate anti-apoptotic BCL-2 members</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="left" valign="top">Cellular Senescence</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-140-3p</td>
<td align="left" valign="top">Integrin cell surface interactions</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.002</td>
<td align="left" valign="top" rowspan="3">COL4A1, FN1,GPC1,ITGA6</td>
</tr>
<tr>
<td align="left" valign="top">Cell surface interactions at the vascular wall</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Assembly of collagen fibrils and other multimeric structures</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.016</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-146a-5p</td>
<td align="left" valign="top">Immune System</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">1.24e-4</td>
<td align="left" valign="top" rowspan="3">CCL5,CCND1,CD40LG,CD80,CFH,CXCL8,DUSP1,EGFR, ERBB4,FADD,ICAM1,IL6,IRAK1,IRAK2,MIF,NFKB1, NOS1,PA2G4,PLAUR,PRKCE,PTGES2,PTGS2,RAC1, RHOA,ROCK1,SIKE1,SLPI,SOS1,SOX2,STAT1,TGFB1, TLR2,TLR4,TRAF6,WASF2</td>
</tr>
<tr>
<td align="left" valign="top">Innate Immune System</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Interleukin-10 signaling</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-15a-5p</td>
<td align="left" valign="top">Cell Cycle</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">0.001</td>
<td align="left" valign="top" rowspan="3">AKT3,BRCA1,CCND1,CCND2,CCNE1,CDC25A,CDKN2B, CHEK1,TP53,WEE1</td>
</tr>
<tr>
<td align="left" valign="top">Cyclin A:Cdk2-associated events at S phase entry</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Cyclin E associated events during G1/S transition</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-34a-5p</td>
<td align="left" valign="top">Developmental Biology</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">6.31e-4</td>
<td align="left" valign="top" rowspan="3">ATG4A,ATG4B,ATG4C,ATG4D,ATG5,ATG7,AKT1,ANK3,AR,BAX,BECN1,BIRC5,CACNB3,CCND1,CCNE2,CD24,CDK4,CDK6,CDKN2C,CYBB,DLL1,E2F1,E2F3,EPHA5,ERBB2,FOS,FOXP1,GFRA3,HDAC1,HNF4A,HNF4G,IFNB1,IL6R,JAG1,KIT,KLF4,L1CAM,LEF1,MAP2K1,MDM4,MET,MTA2,MYB,MYC,NANOG,NOTCH1,NOTCH2,NR4A2,NUMB,PPARA,POU5F1,RAD51,RICTOR,SIRT1,SMAD4,SOX2,SRC,STX1A,TCF7,TGIF2,TP53,TREM2,WNT1,YY1</td>
</tr>
<tr>
<td align="left" valign="top">Gene expression (Transcription)</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">6.34e-4</td>
</tr>
<tr>
<td align="left" valign="top">Cellular responses to external stimuli</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">miR-342-3p</td>
<td align="left" valign="top">JNK (c-Jun kinases) phosphorylation and activation mediated by activated human TAK1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">9.46e-4</td>
<td align="left" valign="top" rowspan="3">IKBKG, TAB2,TAB3</td>
</tr>
<tr>
<td align="left" valign="top">TNFR1-induced NFkappaB signaling pathway</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">9.46e-4</td>
</tr>
<tr>
<td align="left" valign="top">activated TAK1 mediates p38 MAPK activation</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">9.46e-4</td>
</tr>
<tr>
<td align="left" valign="top">miR-374c-5p</td>
<td align="left" valign="top">None</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The top three Reactome pathways for each miRNA are shown, selected based on strong experimental evidence (including reporter assays, Western blot, and qPCR) and significant P values identified using the miRPathDB 2.0 analysis tool.</p>
</table-wrap-foot>
</table-wrap>
<p>To assess the impact of ApoE deficiency, we first investigated miRNAs associated with various processes: proinflammation (&#x2212;125b, &#x2212;34a, and -146a), A&#x03B2; protein (&#x2212;101a, &#x2212;140, &#x2212;15a, &#x2212;342, and &#x2212;374c), tau protein (&#x2212;101a, &#x2212;34a, and &#x2212;146a), apoptosis (&#x2212;125b, &#x2212;140, &#x2212;146a, &#x2212;15a, and &#x2212;34a), angiogenesis (&#x2212;101a, &#x2212;140, 15a and &#x2212;374c) and neuroprotection (&#x2212;140, &#x2212;146a, &#x2212;15a, and &#x2212;374c). The justification for selecting these miRNAs was described in the discussion section.</p>
<sec id="sec19">
<label>3.1</label>
<title>Dysregulated miRNAs in the neocortex-hippocampus and eye tissue, as well as their circulating levels in tear fluid</title>
<p>In this study, we focused primarily on the neocortex-hippocampus, which is the most affected area in AD (<xref ref-type="fig" rid="fig2">Figure 2A</xref>; <xref rid="SM10" ref-type="supplementary-material">Supplementary Table S3</xref>). Eye tissue (<xref ref-type="fig" rid="fig2">Figure 2B</xref>; <xref rid="SM11" ref-type="supplementary-material">Supplementary Table S4</xref>) and tear fluid (<xref ref-type="fig" rid="fig2">Figure 2C</xref>; <xref rid="SM12" ref-type="supplementary-material">Supplementary Table S5</xref>) were also examined to explore the translational potential of retinal biomarkers, with an emphasis on tear-based biomarkers.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Relative miRNA expression levels in the neocortex-hippocampus, eye tissue and tear fluid. <bold>(A)</bold> Violin plots illustrate 2-<sup>&#x2206;Ct</sup> values in the neocortex-hippocampus of 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls. Pooled neocortex-hippocampus tissue samples (<italic>n</italic>&#x202F;=&#x202F;4 per group) were used to assess relative miRNA levels. <bold>(B,C)</bold> Violin plots show the distribution of 2<sup>-&#x2206;Ct</sup> values for 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls for eye tissue and tear fluid, respectively. Mean 2<sup>-&#x2206;Ct</sup> values for individual animals (<italic>n</italic>&#x202F;=&#x202F;4 per group) are overlaid on each plot. Dysregulated miRNAs are defined based on a 2-fold difference between groups and statistical significance at &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001, and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001. A two-way ANOVA with Bonferroni-corrected multiple comparisons was used for neocortex-hippocampus analysis, and the Kruskal-Wallis test with Dunn&#x2019;s multiple comparisons was applied for individual eye and tear fluid analyses.</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g002.tif"/>
</fig>
<p>In the neocortex-hippocampus of 3-month-old <italic>Apoe</italic>-ko mice, all tested miRNAs were significantly downregulated compared to matched controls (<xref ref-type="fig" rid="fig2">Figure 2A</xref>; <xref rid="SM10" ref-type="supplementary-material">Supplementary Table S3</xref>). In the eye tissue, only two miRNAs showed significant dysregulation (&#x2212;125b and &#x2212;374c) between 3-month-old <italic>Apoe</italic>-ko mice and matched controls (<xref ref-type="fig" rid="fig2">Figure 2B</xref> and <xref rid="SM11" ref-type="supplementary-material">Supplementary Table S4</xref>). In the tear fluid, four miRNAs (&#x2212;101a, &#x2212;15a, &#x2212;342, and &#x2212;374c) were significantly downregulated in 3-month-old <italic>Apoe</italic>-ko mice compared to matched controls (<xref ref-type="fig" rid="fig2">Figure 2C</xref> and <xref rid="SM12" ref-type="supplementary-material">Supplementary Table S5</xref>), with the exception of miR-146a, which showed significant a 4-fold increase (<italic>p</italic>&#x202F;=&#x202F;0.035). In 9-month-old <italic>Apoe</italic>-ko mice, five miRNAs (&#x2212;125b, &#x2212;146a, &#x2212;15a, &#x2212;342, and &#x2212;374c) were significantly upregulated in both the neocortex-hippocampus and eye tissue compared to age-matched controls. Notably, two of these miRNAs (&#x2212;146a and -15a) were similarly elevated in tear fluid. Additionally, miR-140 in both eye tissue and tear fluid, and miR-34a in tear fluid, were significantly upregulated in 9-month-old <italic>Apoe</italic>-ko mice compared to controls.</p>
<p>Over time, four miRNAs&#x2014;125b, &#x2212;146a, &#x2212;342, and &#x2212;374c&#x2014;showed consistent and significant upregulation in the neocortex-hippocampus and eye tissue of <italic>Apoe</italic>-ko mice, with two of them (&#x2212;125b, and&#x202F;&#x2212;342) also being reflected in tear fluid. Additionally, miR-15a and miR-374c in neocortex-hippocampus, and miRNAs -101a, &#x2212;140, &#x2212;15a, and &#x2212;34a in tear fluid showed, significant increases. In contrast, all tested miRNAs in the neocortex-hippocampus of control mice were significantly downregulated over time. However, in eye tissues, miR-374c showed significant upregulation, while the other miRNAs did not display any significant changes. Similarly, in tear fluid, miR-342 and miR-374c exhibited significant downregulation, while the other miRNAs remained unchanged.</p>
<p>Relative miRNA expression levels across different brain regions were compared between <italic>Apoe</italic>-ko mice and controls at 3 and 9&#x202F;months of age (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), as well as within the same group of animals over time (9-month-old vs. 3-month-old, <xref ref-type="fig" rid="fig3">Figure 3B</xref>). Overall, miRNA expression levels followed a consistent pattern across the five brain regions, with generally lower levels in 3-month-old <italic>Apoe</italic>-ko mice and higher levels in 9-month-old <italic>Apoe</italic>-ko mice.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Differential expression of miRNAs and glial mRNAs in 9-month-old <italic>Apoe</italic>-ko mice. <bold>(A,B)</bold> Heatmaps show miRNA levels as log2 [fold change], comparing 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice with controls, as well as age-related changes within the same strains across five different brain regions. <bold>(C,D)</bold> Heatmaps display mRNA levels as log2 [fold change], comparing 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice with controls and tracking changes over time within the same strains for the neocortex-hippocampus and eye tissue, respectively. (Ctrl, control).</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g003.tif"/>
</fig>
<p>After miRNA analysis, we determined target mRNAs associated with A&#x03B2; (<italic>App</italic>, <italic>Psen1</italic>, <italic>Bace1</italic>, and <italic>Sorl1</italic>), tau (<italic>Mapt</italic>, <italic>Rock1</italic>, and <italic>Cacna1C</italic>), inflammation (<italic>Gfap</italic>, <italic>Aif1</italic>, <italic>Trem2</italic>, <italic>Lif</italic>, and <italic>Stat3</italic>), A&#x03B2; clearance (<italic>Gfap</italic>, <italic>Aqp4</italic>, <italic>Aif1</italic>, and <italic>Trem2</italic>), apoptosis (<italic>Sirt1, Bcl2,</italic> and <italic>Atg12</italic>), and neuroprotection (<italic>Vegfa</italic>, <italic>Bdnf</italic>, <italic>Cfh</italic>, and <italic>Slc22a4</italic>) in the neocortex-hippocampus and eye tissue. Their selection was primarily based on both conserved seed regions (<xref ref-type="fig" rid="fig1">Figure 1C</xref>) and existing literature.</p>
</sec>
<sec id="sec20">
<label>3.2</label>
<title>Differentially expressed target mRNAs in neocortex-hippocampus and eye tissue</title>
<sec id="sec21">
<label>3.2.1</label>
<title>Neocortex-hippocampus</title>
<p>In general, mRNA expression levels were higher in 3-month-old <italic>Apoe</italic>-ko mice compared to matched controls, but lower in 9-month-old <italic>Apoe</italic>-ko mice compared to their respective controls (<xref ref-type="table" rid="tab2">Table 2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). Among these, eight target mRNAs (<italic>Sorl1</italic>, <italic>Cacna1c</italic>, <italic>Mapt</italic>, <italic>Rock1</italic>, <italic>Aqp4</italic>, <italic>Lif</italic>, <italic>Sirt1</italic>, and <italic>Bcl2</italic>) were significantly upregulated (above the 1.5-fold cutoff) in 3-month-old <italic>Apoe</italic>-ko mice compared with matched controls. In contrast, fourteen target mRNAs (<italic>App, Psen1, Bace1, Sorl1, Cacna1c, Rock1</italic>, <italic>Aqp4</italic>, <italic>Lif</italic>, <italic>Sirt1</italic>, <italic>Bcl2</italic>, <italic>Vegfa</italic>, <italic>Bdnf</italic>, <italic>Cfh</italic>, and <italic>Slc22a4</italic>) were significantly downregulated (below the 1.5-fold cutoff) in 9-month-old <italic>Apoe</italic>-ko mice compared with 9-month-old controls. Interestingly, the glial cell mRNAs, <italic>Gfap</italic> and <italic>Aif1</italic> were notably upregulated in 9-month-old <italic>Apoe</italic>-ko mice, with significant increases of 1.6-fold (<italic>p</italic>&#x202F;=&#x202F;0.0002) and 1.8-fold (<italic>p</italic>&#x202F;=&#x202F;0.0009), respectively. With aging, seventeen out of twenty target mRNAs showed significant downregulation in 9-month-old <italic>Apoe</italic>-ko mice compared to 3-month-old <italic>Apoe</italic>-ko mice, except for <italic>Gfap</italic>, <italic>Aif1</italic>, and <italic>Stat3</italic>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Relative mRNA levels in the neocortex-hippocampus of <italic>Apoe</italic>-ko mice and controls.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="4">Target messenger RNAs</th>
<th align="center" valign="top" colspan="10">Differentially expressed mRNAs</th>
</tr>
<tr>
<th align="center" valign="top" colspan="10">(&#x2265;1.5-fold intergroup difference and <italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko vs. Controls (3-month-old)</th>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko vs. Controls (9-month-old)</th>
<th align="center" valign="top" colspan="2">9-month-old vs. 3-month-old <italic>Apoe</italic>-ko mice</th>
<th align="center" valign="top" colspan="2">9-month-old vs. 3-month-old controls</th>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko HFD vs. <italic>Apoe</italic>-ko RD</th>
</tr>
<tr>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom"><italic>App</italic></td>
<td align="center" valign="top">1.46</td>
<td align="center" valign="middle">0.0002</td>
<td align="center" valign="top"><bold>0.48</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.46</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">1.39</td>
<td align="center" valign="middle">0.0007</td>
<td align="center" valign="middle">N/d</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Psen1</italic></td>
<td align="center" valign="top">1.36</td>
<td align="center" valign="bottom">0.0001</td>
<td align="center" valign="top"><bold>0.54</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.48</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">1.21</td>
<td align="center" valign="bottom">0.0045</td>
<td align="center" valign="middle">N/d</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bace1</italic></td>
<td align="center" valign="top">1.24</td>
<td align="center" valign="bottom">0.0368</td>
<td align="center" valign="top"><bold>0.44</bold></td>
<td align="center" valign="bottom"><bold>0.0036</bold></td>
<td align="center" valign="top"><bold>0.22</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="bottom"><bold>0.0022</bold></td>
<td align="center" valign="middle"><bold>11.13</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Sorl1</italic></td>
<td align="center" valign="top"><bold>1.71</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.28</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.13</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">0.80</td>
<td align="center" valign="bottom">0.0228</td>
<td align="center" valign="middle">0.84</td>
<td align="center" valign="middle">0.016</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Cacna1c</italic></td>
<td align="center" valign="top"><bold>1.52</bold></td>
<td align="center" valign="bottom"><bold>0.0003</bold></td>
<td align="center" valign="top"><bold>0.26</bold></td>
<td align="center" valign="bottom"><bold>0.0019</bold></td>
<td align="center" valign="top"><bold>0.09</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.53</bold></td>
<td align="center" valign="bottom"><bold>0.0006</bold></td>
<td align="center" valign="middle">N/d</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Mapt</italic></td>
<td align="center" valign="top"><bold>2.04</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">0.88</td>
<td align="center" valign="bottom">0.2137</td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">1.40</td>
<td align="center" valign="bottom">0.0025</td>
<td align="center" valign="middle"><bold>2.57</bold></td>
<td align="center" valign="middle"><bold>0.0002</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Rock1</italic></td>
<td align="center" valign="top"><bold>2.44</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.43</bold></td>
<td align="center" valign="bottom"><bold>0.0013</bold></td>
<td align="center" valign="top"><bold>0.20</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">1.17</td>
<td align="center" valign="bottom">0.8788</td>
<td align="center" valign="middle"><bold>0.16</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Aqp4</italic></td>
<td align="center" valign="top"><bold>2.38</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.33</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.26</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>1.89</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="middle">N/d</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Gfap</italic></td>
<td align="center" valign="top">0.70</td>
<td align="center" valign="bottom">0.001</td>
<td align="center" valign="top"><bold>1.65</bold></td>
<td align="center" valign="bottom"><bold>0.0002</bold></td>
<td align="center" valign="top">1.31</td>
<td align="center" valign="bottom">0.0072</td>
<td align="center" valign="top"><bold>0.56</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="middle"><bold>30.71</bold></td>
<td align="center" valign="middle"><bold>0.0027</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Aif1</italic></td>
<td align="center" valign="top">1.09</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top"><bold>1.82</bold></td>
<td align="center" valign="bottom"><bold>0.0009</bold></td>
<td align="center" valign="top">1.01</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="bottom"><bold>0.0038</bold></td>
<td align="center" valign="middle">1.21</td>
<td align="center" valign="middle">0.4631</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Trem2</italic></td>
<td align="center" valign="top">1.42</td>
<td align="center" valign="bottom">0.0271</td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top"><bold>0.44</bold></td>
<td align="center" valign="bottom"><bold>0.0005</bold></td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0899</td>
<td align="center" valign="middle"><bold>3.97</bold></td>
<td align="center" valign="middle"><bold>0.0032</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Stat3</italic></td>
<td align="center" valign="top">1.02</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.77</td>
<td align="center" valign="bottom">0.2951</td>
<td align="center" valign="top">0.73</td>
<td align="center" valign="bottom">0.1291</td>
<td align="center" valign="top">0.97</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="middle"><bold>0.04</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Lif</italic></td>
<td align="center" valign="top"><bold>1.75</bold></td>
<td align="center" valign="bottom"><bold>0.0257</bold></td>
<td align="center" valign="top"><bold>0.56</bold></td>
<td align="center" valign="bottom"><bold>0.0376</bold></td>
<td align="center" valign="top"><bold>0.51</bold></td>
<td align="center" valign="bottom"><bold>0.0124</bold></td>
<td align="center" valign="top">1.60</td>
<td align="center" valign="bottom">0.0825</td>
<td align="center" valign="middle"><bold>0.11</bold></td>
<td align="center" valign="middle"><bold>0.0004</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Atg12</italic></td>
<td align="center" valign="top">1.17</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="bottom">0.1393</td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="bottom"><bold>0.03</bold></td>
<td align="center" valign="top">1.03</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="middle"><bold>13.80</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Sirt1</italic></td>
<td align="center" valign="top"><bold>3.12</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="bottom"><bold>0.0429</bold></td>
<td align="center" valign="top"><bold>0.32</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>1.70</bold></td>
<td align="center" valign="bottom"><bold>0.0397</bold></td>
<td align="center" valign="middle"><bold>27.77</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bcl2</italic></td>
<td align="center" valign="top"><bold>2.09</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.40</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.36</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>1.88</bold></td>
<td align="center" valign="bottom"><bold>0.0001</bold></td>
<td align="center" valign="middle">N/d</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Vegfa</italic></td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="bottom">0.3774</td>
<td align="center" valign="top"><bold>0.37</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.32</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">0.80</td>
<td align="center" valign="bottom">0.0003</td>
<td align="center" valign="middle"><bold>12.62</bold></td>
<td align="center" valign="middle"><bold>0.0166</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bdnf</italic></td>
<td align="center" valign="top">1.38</td>
<td align="center" valign="bottom">0.0011</td>
<td align="center" valign="top"><bold>0.27</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.32</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>1.64</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="middle"><bold>0.15</bold></td>
<td align="center" valign="middle"><bold>0.0002</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Cfh</italic></td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="bottom">0.0047</td>
<td align="center" valign="top"><bold>0.46</bold></td>
<td align="center" valign="bottom"><bold>0.0004</bold></td>
<td align="center" valign="top"><bold>0.28</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top"><bold>0.50</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="middle"><bold>13.49</bold></td>
<td align="center" valign="middle"><bold>&#x003C;0.0001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Slc22a4</italic></td>
<td align="center" valign="top">0.74</td>
<td align="center" valign="bottom">0.0431</td>
<td align="center" valign="top"><bold>0.30</bold></td>
<td align="center" valign="bottom"><bold>0.0056</bold></td>
<td align="center" valign="top"><bold>0.21</bold></td>
<td align="center" valign="bottom"><bold>0.0002</bold></td>
<td align="center" valign="top"><bold>0.52</bold></td>
<td align="center" valign="bottom"><bold>0.0009</bold></td>
<td align="center" valign="middle"><bold>27.51</bold></td>
<td align="center" valign="middle"><bold>0.0002</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Apoe-ko</italic> mice (<italic>n</italic>&#x202F;=&#x202F;4 per group, females) and controls (C57BL/6&#x202F;J) were compared at 3-month-old and 9-month-old ages, as well as within strains over time (2-way ANOVA with Bonferroni corrected multiple comparison test). Additionally, <italic>Apoe-ko</italic> mice on a high-fat diet (HFD) versus a regular diet (RD) (<italic>n</italic>&#x202F;=&#x202F;4&#x2013;5 per group, females) were compared at 9&#x202F;months (2-tailed unpaired <italic>t</italic> test). Differentially expressed mRNAs are highlighted in bold based on <italic>P</italic>&#x202F;&#x003C;&#x202F;0.05 and an intergroup difference greater than 1.5-fold (FC, Fold change; N/d, Not determined).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec22">
<label>3.2.2</label>
<title>Eye tissue</title>
<p>In the 3-month-old group, four target mRNAs (<italic>Sorl1, Cacna1c, Rock1,</italic> and <italic>Bcl2</italic>) showed significant upregulation in <italic>Apoe</italic>-ko mice compared to controls (<xref ref-type="table" rid="tab3">Table 3</xref> and <xref ref-type="supplementary-material" rid="SM2">Supplementary Figure S2</xref>). Importantly, the glial cell mRNAs, <italic>Gfap</italic> and <italic>Aif1</italic> were notably downregulated in 3-month-old Apoe-ko mice, with significant decreases of 1.6-fold (<italic>P</italic> = 0.0022) and 1.7-fold (<italic>P</italic> = 0.0396), respectively. In the 9-month-old group, <italic>Bdnf</italic> was significantly upregulated, while <italic>Vegfa</italic> significantly downregulated in <italic>Apoe</italic>-ko mice compared to matched controls. With aging, <italic>Gfap</italic> and <italic>Aif1</italic> were significantly upregulated, while <italic>Sorl1</italic>, <italic>Sta3</italic>, <italic>Vegfa</italic> and <italic>Slc22a4</italic> were was significantly downregulated in <italic>Apoe</italic>-ko mice. Interestingly, <italic>Gfap</italic> was significantly downregulated in 9-month-old controls compared to 3-month-old controls.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Relative mRNA level in the eye tissues of <italic>Apoe</italic>-ko mice and controls at 3-month-old and 9-month-old ages and based on diet.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="4">Target messenger RNAs</th>
<th align="center" valign="top" colspan="10">Differentially expressed mRNAs</th>
</tr>
<tr>
<th align="center" valign="top" colspan="10">(&#x2265;1.5-fold intergroup difference and p&#x202F;&#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko vs. Controls (3-month-old)</th>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko vs. Controls (9-month-old)</th>
<th align="center" valign="top" colspan="2">9-month-old vs. 3-month-old <italic>Apoe</italic>-ko mice</th>
<th align="center" valign="top" colspan="2">9-month-old vs. 3-month-old controls</th>
<th align="center" valign="top" colspan="2"><italic>Apoe</italic>-ko HFD vs. <italic>Apoe</italic>-ko RD</th>
</tr>
<tr>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
<th align="center" valign="top">FC</th>
<th align="center" valign="top"><italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom"><italic>App</italic></td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">0.99</td>
<td align="center" valign="middle">&#x003E;0.9999</td>
<td align="center" valign="top">1.20</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="bottom">0.0001</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Psen1</italic></td>
<td align="center" valign="top">1.20</td>
<td align="center" valign="bottom">0.0025</td>
<td align="center" valign="top">0.90</td>
<td align="center" valign="bottom">0.0549</td>
<td align="center" valign="top">0.91</td>
<td align="center" valign="bottom">0.0807</td>
<td align="center" valign="top">1.21</td>
<td align="center" valign="bottom">0.0019</td>
<td align="center" valign="top">0.87</td>
<td align="center" valign="bottom">0.0069</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bace1</italic></td>
<td align="center" valign="top">1.02</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.74</td>
<td align="center" valign="bottom">0.0129</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="bottom">0.1866</td>
<td align="center" valign="top">1.14</td>
<td align="center" valign="bottom">0.3821</td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="bottom"><bold>0.0003</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Sorl1</italic></td>
<td align="center" valign="top"><bold>2.02</bold></td>
<td align="center" valign="bottom"><bold>0.0013</bold></td>
<td align="center" valign="top">1.02</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="bottom"><bold>0.0037</bold></td>
<td align="center" valign="top">1.12</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="bottom">0.0233</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Cacna1c</italic></td>
<td align="center" valign="top"><bold>1.54</bold></td>
<td align="center" valign="bottom"><bold>0.0076</bold></td>
<td align="center" valign="top">1.43</td>
<td align="center" valign="bottom">0.0063</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0067</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="bottom">0.0072</td>
<td align="center" valign="top">1.10</td>
<td align="center" valign="bottom">0.5065</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Mapt</italic></td>
<td align="center" valign="top">1.67</td>
<td align="center" valign="bottom">0.3688</td>
<td align="center" valign="top">1.09</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.75</td>
<td align="center" valign="bottom">0.4591</td>
<td align="center" valign="top">1.14</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.79</td>
<td align="center" valign="bottom">0.0257</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Rock1</italic></td>
<td align="center" valign="top"><bold>1.93</bold></td>
<td align="center" valign="bottom"><bold>0.0094</bold></td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.63</td>
<td align="center" valign="bottom">0.1093</td>
<td align="center" valign="top">1.46</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.88</td>
<td align="center" valign="bottom">0.2373</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Aqp4</italic></td>
<td align="center" valign="top">1.44</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">0.84</td>
<td align="center" valign="bottom">0.2547</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="bottom">0.0006</td>
<td align="center" valign="top">1.30</td>
<td align="center" valign="bottom">0.0107</td>
<td align="center" valign="top">0.89</td>
<td align="center" valign="bottom">0.0936</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Gfap</italic></td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="bottom"><bold>0.0022</bold></td>
<td align="center" valign="top">2.98</td>
<td align="center" valign="bottom">0.1545</td>
<td align="center" valign="top"><bold>1.79</bold></td>
<td align="center" valign="bottom"><bold>0.0107</bold></td>
<td align="center" valign="top"><bold>0.38</bold></td>
<td align="center" valign="bottom"><bold>0.0231</bold></td>
<td align="center" valign="top"><bold>0.50</bold></td>
<td align="center" valign="bottom"><bold>0.0015</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Aif1</italic></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="bottom"><bold>0.0396</bold></td>
<td align="center" valign="top">0.89</td>
<td align="center" valign="bottom">0.0004</td>
<td align="center" valign="top"><bold>1.67</bold></td>
<td align="center" valign="bottom"><bold>0.0055</bold></td>
<td align="center" valign="top">1.13</td>
<td align="center" valign="bottom">0.0015</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="bottom">0.0013</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Trem2</italic></td>
<td align="center" valign="top">1.22</td>
<td align="center" valign="bottom">0.1281</td>
<td align="center" valign="top">1.34</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">2.26</td>
<td align="center" valign="bottom">0.1192</td>
<td align="center" valign="top">2.05</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.98</td>
<td align="center" valign="bottom">0.5532</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Stat3</italic></td>
<td align="center" valign="top">2.63</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">1.02</td>
<td align="center" valign="bottom">0.4955</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="bottom"><bold>0.0143</bold></td>
<td align="center" valign="top">1.71</td>
<td align="center" valign="bottom">0.1014</td>
<td align="center" valign="top">0.82</td>
<td align="center" valign="bottom">0.1007</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Lif</italic></td>
<td align="center" valign="top">1.30</td>
<td align="center" valign="bottom">0.0002</td>
<td align="center" valign="top">2.09</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">1.08</td>
<td align="center" valign="bottom">0.0126</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0421</td>
<td align="center" valign="top">1.46</td>
<td align="center" valign="bottom">0.0003</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Atg12</italic></td>
<td align="center" valign="top">1.08</td>
<td align="center" valign="bottom">0.343</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0041</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">1.26</td>
<td align="center" valign="bottom">0.2646</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="bottom">0.0022</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Sirt1</italic></td>
<td align="center" valign="top">1.33</td>
<td align="center" valign="bottom">0.1635</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0002</td>
<td align="center" valign="top">1.07</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="bottom">0.0159</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bcl2</italic></td>
<td align="center" valign="top"><bold>1.60</bold></td>
<td align="center" valign="bottom"><bold>0.0005</bold></td>
<td align="center" valign="top">1.23</td>
<td align="center" valign="bottom">0.0226</td>
<td align="center" valign="top">1.22</td>
<td align="center" valign="bottom">&#x003C;0.0001</td>
<td align="center" valign="top">1.59</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">0.93</td>
<td align="center" valign="bottom">0.394</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Vegfa</italic></td>
<td align="center" valign="top">1.18</td>
<td align="center" valign="bottom">0.0003</td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="bottom"><bold>0.0084</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="bottom"><bold>0.0108</bold></td>
<td align="center" valign="top">1.25</td>
<td align="center" valign="bottom">0.0003</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="bottom">0.0072</td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Bdnf</italic></td>
<td align="center" valign="top">1.47</td>
<td align="center" valign="bottom">0.0623</td>
<td align="center" valign="top"><bold>1.65</bold></td>
<td align="center" valign="bottom"><bold>&#x003C;0.0001</bold></td>
<td align="center" valign="top">1.17</td>
<td align="center" valign="bottom">0.0002</td>
<td align="center" valign="top">1.04</td>
<td align="center" valign="bottom">0.0129</td>
<td align="center" valign="top"><bold>1.51</bold></td>
<td align="center" valign="bottom"><bold>0.0006</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Cfh</italic></td>
<td align="center" valign="top">1.39</td>
<td align="center" valign="bottom">0.0033</td>
<td align="center" valign="top">0.71</td>
<td align="center" valign="bottom">0.0003</td>
<td align="center" valign="top">0.71</td>
<td align="center" valign="bottom">0.1211</td>
<td align="center" valign="top">1.40</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top"><bold>0.54</bold></td>
<td align="center" valign="bottom"><bold>0.001</bold></td>
</tr>
<tr>
<td align="left" valign="bottom"><italic>Slc22a4</italic></td>
<td align="center" valign="top">1.36</td>
<td align="center" valign="bottom">0.2848</td>
<td align="center" valign="top">0.70</td>
<td align="center" valign="bottom">0.3065</td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="bottom"><bold>0.0473</bold></td>
<td align="center" valign="top">1.17</td>
<td align="center" valign="bottom">&#x003E;0.9999</td>
<td align="center" valign="top">1.07</td>
<td align="center" valign="bottom">0.5975</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Apoe-ko</italic> mice (<italic>n</italic>&#x202F;=&#x202F;4 per group, females) and controls (C57BL/6&#x202F;J) were compared at 3-month-old and 9-month-old ages, as well as within strains over time (2-way ANOVA with Bonferroni corrected multiple comparison test). Additionally, <italic>Apoe-ko</italic> mice on a high-fat diet (HFD) versus a regular diet (RD) (<italic>n</italic>&#x202F;=&#x202F;4&#x2013;5 per group, females) were compared at 9&#x202F;months (2-tailed unpaired t test). Differentially expressed mRNAs are highlighted in bold based on <italic>P</italic>&#x202F;&#x003C;&#x202F;0.05 and an intergroup difference greater than 1.5-fold. (FC, Fold change).</p>
</table-wrap-foot>
</table-wrap>
<p>Heatmaps generated for genes expressed in both the neocortex-hippocampus (<xref ref-type="fig" rid="fig3">Figure 3C</xref>) and eye tissue (<xref ref-type="fig" rid="fig3">Figure 3D</xref>) indicated differential expression, particularly of glial cell mRNAs such as <italic>Gfap</italic> and <italic>Aif1</italic> in 9-month-old <italic>Apoe</italic>-ko mice, with their regulation direction being opposite to that of other genes.</p>
</sec>
</sec>
<sec id="sec23">
<label>3.3</label>
<title>Impact of a high-fat diet on the expression levels of miRNAs and mRNAs</title>
<p>High-fat diet and ApoE deficiency have been studied in relation to retinal degenerative diseases. Because the retina is considered a surrogate tissue for studying AD, we investigated miRNA and mRNA levels in both the neocortex-hippocampus and eye tissue, as well as circulating miRNAs in tear samples, based on diet.</p>
<p>Our findings in mice on a high-fat diet indicated that in the neocortex-hippocampus (<xref ref-type="fig" rid="fig4">Figure 4A</xref>; <xref rid="SM10" ref-type="supplementary-material">Supplementary Table S3</xref>) and eye tissue (<xref ref-type="fig" rid="fig4">Figure 4B</xref>; <xref rid="SM11" ref-type="supplementary-material">Supplementary Table S4</xref>), the inflammatory miRNAs -125b, &#x2212;146a, and &#x2212;342 were significantly upregulated, while the anti-amyloidogenic/angiogenic miRNAs -101a, &#x2212;15a, and &#x2212;374c were significantly dysregulated, showing downregulation in the neocortex-hippocampus (&#x2212;101a and &#x2212;374c) and upregulation (&#x2212;15a and &#x2212;374c) in the eye tissues. However, none of the tested miRNAs showed significant differences in the tears (<xref ref-type="fig" rid="fig4">Figure 4C</xref>; <xref rid="SM12" ref-type="supplementary-material">Supplementary Table S5</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Relative miRNA expression levels in the neocortex-hippocampus, eye tissue and tear fluid of high fat diet <italic>Apoe</italic>-ko mice compared with regular diet <italic>Apoe</italic>-ko mice. <bold>(A)</bold> Violin plots illustrate the distribution of 2<sup>-&#x2206;Ct</sup> values for high-fat and regular diet 9-month-old <italic>Apoe</italic>-ko mice in pooled neocortex-hippocampus tissue samples (<italic>n</italic>&#x202F;=&#x202F;4&#x2013;5 per group). Violin plots also show the distribution of 2<sup>-&#x2206;Ct</sup> values between high-fat and regular diet 9-month-old <italic>Apoe</italic>-ko mice for <bold>(B)</bold> eye tissue and <bold>(C)</bold> tear fluid. The mean 2<sup>-&#x2206;Ct</sup> values for individual animals (<italic>n</italic>&#x202F;=&#x202F;4&#x2013;5 per group) are overlaid on each plot. Dysregulated miRNAs are defined based on a 2-fold or greater difference between groups and statistical significance at &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001 (2-tailed unpaired <italic>t</italic>-test for pooled neocortex-hippocampus, and the Mann&#x2013;Whitney test for eye and tear samples). (HFD, high fat diet; RD, regular diet).</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g004.tif"/>
</fig>
<p>The majority of the target mRNAs tested showed no significant differences in the eye tissue of mice on a high-fat diet compared to those on a regular diet. However, <italic>Bace1</italic>, <italic>Gfap</italic>, and <italic>Cfh</italic> were significantly downregulated, while <italic>Bdnf</italic> was significantly upregulated in the high-fat diet mice (<xref ref-type="table" rid="tab3">Table 3</xref>; <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure S3</xref>). We were unable to determine all 20 target genes in the neocortex-hippocampus. Of the 15 mRNAs assessed, <italic>Bace1</italic>, <italic>Mapt</italic>, <italic>Gfap</italic>, <italic>Trem2</italic>, <italic>Atg12</italic>, <italic>Sirt1</italic>, <italic>Vegfa</italic>, <italic>Cfh</italic>, and <italic>Slc22a4</italic> were significantly upregulated, while <italic>Rock1</italic>, <italic>Stat3</italic>, <italic>Lif</italic>, and <italic>Bdnf</italic> were significantly downregulated (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<p>Based on the differential expressions of target mRNAs, glial cells were notably altered in the <italic>Apoe</italic>-ko mice with ageing in both neocortex-hippocampus and eye tissue (<xref ref-type="fig" rid="fig3">Figures 3C</xref>,<xref ref-type="fig" rid="fig3">D</xref>). In addition to impaired lipid metabolism, the accumulation of APP/A&#x03B2; peptides could contribute to aberrant glial cell expression. Therefore, we examined glial cell proteins Gfap, Iba1, and Trem2, along with 6E10+ APP/A&#x03B2; peptides, in the neocortex-hippocampus and eye tissue.</p>
</sec>
<sec id="sec24">
<label>3.4</label>
<title>ApoE deficiency disrupts glial homeostasis, leading to APP/A&#x03B2; peptide accumulation in neocortex-hippocampus</title>
<p>Intraneuronal accumulations of 6E10+ APP/A&#x03B2; peptides were identified in the neocortex-hippocampus, with immunoreactivity varying across groups (<xref ref-type="fig" rid="fig5">Figure 5A</xref>; <xref rid="SM13" ref-type="supplementary-material">Supplementary Table S6</xref>). Brain endothelial cells at the meninges also stained positively for APP/A&#x03B2; peptides (red arrowheads, <xref ref-type="fig" rid="fig5">Figure 5A</xref>). 3-month-old <italic>Apoe</italic>-ko mice showed no significant difference compared to controls, but 9-month-old <italic>Apoe</italic>-ko mice had significantly higher levels (<italic>p</italic>&#x202F;=&#x202F;0.023) (<xref ref-type="fig" rid="fig5">Figure 5D</xref>). Gfap immunoreactivity was significantly lower in 3-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001) than in controls, while no difference was seen in 9-month-old mice (<xref ref-type="fig" rid="fig5">Figure 5D</xref>). No age-related change in 6E10 immunoreactivity was observed in <italic>Apoe</italic>-ko mice, though controls showed a significant reduction (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Conversely, Gfap immunoreactivity significantly changed with aging in <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001), with no such difference in controls. Spearman&#x2019;s rank correlation revealed a significant negative association between 6E10 and Gfap immunoreactivities in 9-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;=&#x202F;0.0185, <italic>r</italic>&#x202F;=&#x202F;&#x2212;0.4585), but not in 3-month-old mice or controls (<xref ref-type="fig" rid="fig5">Figure 5E</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Changes in glial cell expression in relation to APP/A&#x03B2; peptide levels in the neocortex-hippocampus. <bold>(A)</bold> Intraneuronal accumulation of 6E10+ APP/A&#x03B2; peptides and Gfap + astroglia in the hippocampal CA1 region and neocortex. 6E10+ labelling was also detected in brain endothelial cells at the meninges (indicated by red arrowheads). White dashed circles indicate 6E10-negative cells. <bold>(B,C)</bold> show Iba1+ microglia, and the colocalization of Iba1+ microglia with Trem2+ receptors (zoomed-in, white dashed boxes and yellow arrowheads) in the CA1 region of the hippocampus and neocortex. <bold>(D,F)</bold> illustrate comparisons of 6E10-Gfap and Iba1-Trem2 immunoreactivities between <italic>Apoe</italic>-ko mice and controls at both 3 and 9&#x202F;months of age, as well as comparisons within the same strains over time. Violin plots display the distribution of normalized pixel values (with outliers removed), and individual animal scores (<italic>n</italic>&#x202F;=&#x202F;4 per group, all females) are overlaid. Significant differences are indicated by <italic>p</italic> values: &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001, determined using the Kruskal-Wallis test with Dunn&#x2019;s multiple comparisons test. <bold>(E,G)</bold> show correlations (Spearman&#x2019;s r) between 6E10-Gfap and Iba1-Trem2 for <italic>Apoe</italic>-ko mice and controls, with <italic>p</italic> values provided for both 3- and 9-month age groups. (Scale bar: 20&#x202F;&#x03BC;m).</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g005.tif"/>
</fig>
<p><xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4A&#x2013;K</xref> illustrated differences in APP/A&#x03B2; peptide and astroglia expression in the neocortex-hippocampus of <italic>Apoe</italic>-ko and control mice at 3 and 9&#x202F;months of age. Higher-magnification images revealed 6E10+ APP/A&#x03B2; peptides within neurons (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4B,F</xref>, indicated by white dashed box and white arrowheads) and endothelial cells at the meninges (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure S4H</xref>, indicated by red arrowheads), while white dashed circles marked 6E10-negative cells. The presence of 6E10+ APP in neurons (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4C,G</xref>, indicated by white dashed box and white arrowheads) and endothelial cells (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure S4I</xref>, indicated by red arrowheads) was confirmed using a rabbit monoclonal APP antibody. Additionally, the 12F4 antibody showed positive signals in brain endothelial cells at the meninges, but not within neurons (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4D,J</xref>, indicated by red arrowheads).</p>
<p>Iba1 expression and its colocalization with the Trem2 were observed in the neocortex-hippocampus (<xref ref-type="fig" rid="fig5">Figures 5B</xref>,<xref ref-type="fig" rid="fig5">C</xref>). Iba1+ microglia expressing Trem2 receptors were indicated using zoomed white dashed boxes and yellow arrowheads (<xref ref-type="fig" rid="fig5">Figure 5C</xref>). Both Iba1 and Trem2 immunoreactivities were significantly higher in 9-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001), with no significant difference in 3-month-old mice compared to age-matched controls (<xref ref-type="fig" rid="fig5">Figure 5F</xref> and <xref rid="SM13" ref-type="supplementary-material">Supplementary Table S6</xref>). Iba1 levels remained stable with aging in <italic>Apoe</italic>-ko mice but decreased significantly in controls (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001). Conversely, Trem2 immunoreactivity increased significantly in <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001), remaining unchanged in controls. Spearman&#x2019;s correlation showed a significant positive association between Iba1 and Trem2 in 3-month-old controls (<italic>p</italic>&#x202F;=&#x202F;0.05, <italic>r</italic>&#x202F;=&#x202F;0.3588), but not in <italic>Apoe</italic>-ko mice or 9-month-old controls (<xref ref-type="fig" rid="fig5">Figure 5G</xref>).</p>
<p><xref ref-type="supplementary-material" rid="SM5">Supplementary Figures S5A&#x2013;E</xref> was provided to show Trem2 expression with and without microglial colocalization in the neocortex-hippocampus of <italic>Apoe</italic>-ko and control mice at 3 and 9&#x202F;months of age. Enlarged merged images (<xref ref-type="supplementary-material" rid="SM5">Supplementary Figures S5A&#x2013;C</xref>) demonstrated the colocalization of microglia expressing Trem2 receptors (indicated by yellow arrowheads) and cells expressing only Trem2 (indicated by white dashed circles) in the dentate gyrus, CA1 region, and neocortex, respectively.</p>
<p>Overall, 6E10+ APP/A&#x03B2; peptides and the microglia/macrophage proteins Iba1 and Trem2 were significantly increased in the neocortex-hippocampus of 9-month-old <italic>Apoe</italic>-ko mice compared to 9-month-old controls. Within strains, Gfap and Trem2 levels showed an age-related increase in <italic>Apoe</italic>-ko mice, while 6E10+ APP/A&#x03B2; peptides and Iba1 levels exhibited a significant age-related reduction in controls.</p>
</sec>
<sec id="sec25">
<label>3.5</label>
<title>ApoE deficiency disrupts glial homeostasis, leading to APP/A&#x03B2; peptide accumulation in eye tissue</title>
<p>Our immunolabeling data confirmed intraneuronal accumulation of 6E10+ APP/A&#x03B2; peptides within the retinal layers (<xref ref-type="fig" rid="fig6">Figure 6A</xref>). Notably, 9-month-old <italic>Apoe</italic>-ko mice displayed 6E10+ A&#x03B2; plaque-like deposition in the inner retina (<xref ref-type="fig" rid="fig6">Figure 6A</xref>, zoomed-in white circle). However, further validation with a larger number of samples and different antibodies for A&#x03B2; plaques is necessary. 3-month-old <italic>Apoe</italic>-ko mice exhibited significantly lower 6E10 immunoreactivity than controls (<italic>p</italic>&#x202F;=&#x202F;0.018) (<xref ref-type="fig" rid="fig6">Figure 6C</xref>; <xref rid="SM14" ref-type="supplementary-material">Supplementary Table S7</xref>). In 9-month-old <italic>Apoe</italic>-ko mice, both 6E10 (<italic>p</italic>&#x202F;=&#x202F;0.009) and Gfap (<italic>p</italic>&#x202F;=&#x202F;0.0001) immunoreactivities were significantly higher compared to controls. Over time, 6E10 levels remained the same, but Gfap increased significantly in 9-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;=&#x202F;0.026). In contrast, 6E10 and Gfap immunoreactivities were significantly reduced in 9-month-old controls (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001 and <italic>p</italic>&#x202F;=&#x202F;0.0008). Spearman&#x2019;s correlation revealed a moderate positive association between 6E10 and Gfap immunoreactivities in 9-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;=&#x202F;0.0003, <italic>r</italic>&#x202F;=&#x202F;0.7030), with no significant correlations in 3-month-old <italic>Apoe</italic>-ko mice or controls (<xref ref-type="fig" rid="fig6">Figure 6D</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Changes in glial cell expression in relation to APP/A&#x03B2; peptide levels in the retina. <bold>(A)</bold> Illustration of 6E10+ APP/A&#x03B2; peptides and Gfap + astroglia, focusing on the GCl, with a zoomed-in white circle indicating 6E10+ A&#x03B2; plaque-like deposition 6E10+ A&#x03B2;. <bold>(B)</bold> Illustration of Iba1+ microglia with and without Trem2+ receptors in the retina, focusing on the NFL-GCL; the zoomed-in white dashed box indicates colocalization. <bold>(C,E)</bold> Comparisons of 6E10-Gfap and Iba1-Trem2 immunoreactivity between <italic>Apoe</italic>-ko mice and controls at both 3 and 9&#x202F;months of age, as well as comparisons within the same strains over time. Violin plots display the distribution of normalized pixel values (outliers removed), with individual animal scores (n&#x202F;=&#x202F;4 per group, all females) overlaid. Significant differences are indicated by <italic>p</italic> values: &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 and &#x002A;&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001, determined using the Kruskal-Wallis test with Dunn&#x2019;s multiple comparisons test. <bold>(D,F)</bold> Correlations (Spearman&#x2019;s r) between 6E10-Gfap and Iba1-Trem2 for <italic>Apoe</italic>-ko mice and controls, with <italic>p</italic> values provided for both 3-month-old and 9-month-old age groups. (Scale bar: 20&#x202F;&#x03BC;m) (NFL, nerve fiber layer; GCL, ganglion cell layer; IPL, inner plexiform layer; INL, inner nuclear layer; OPL, outer plexiform layer; ONL, outer nuclear layer).</p>
</caption>
<graphic xlink:href="fnagi-16-1495615-g006.tif"/>
</fig>
<p><xref ref-type="supplementary-material" rid="SM6">Supplementary Figures S6A&#x2013;F</xref> was provided to show the differences in 6E10+ APP/A&#x03B2; peptide and astroglial expression in the retina of <italic>Apoe</italic>-ko and control mice at 3 and 9&#x202F;months of age. Higher magnification images illustrated 6E10+ APP/A&#x03B2; peptide accumulation predominantly within the GCL (<xref ref-type="supplementary-material" rid="SM6">Supplementary Figure S6B</xref>). The presence of APP, predominantly within the GCL, was validated using a rabbit monoclonal APP antibody (<xref ref-type="supplementary-material" rid="SM6">Supplementary Figure S6C</xref>). The white dashed circles indicated a diffuse plaque-like depositions within the GCL in panels 6B and C. Additionally, 12F4 showed positive signals at the ILM but not within the neurons (<xref ref-type="supplementary-material" rid="SM6">Supplementary Figure S6D</xref>). The white dashed circle indicated a 12F4+ extracellular A&#x03B2; plaque-like deposition within the INL in panel D.</p>
<p>Iba1 and Trem2 colocalization were primarily observed in the NFL-GCL (<xref ref-type="fig" rid="fig6">Figure 6B</xref>, zoomed-in white dashed box). Iba1 and Trem2 immunoreactivities showed no significant differences in 3-month-old or 9-month-old <italic>Apoe</italic>-ko mice compared to age-matched controls (<xref ref-type="fig" rid="fig6">Figure 6E</xref> and Supplementary Table S7). Within A<italic>poe</italic>-ko mice, both Iba1 and Trem2 levels remained stable over time (<xref ref-type="fig" rid="fig6">Figure 6E</xref> and Supplementary Table S7). In controls, Iba1 levels increased significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001), while Trem2 levels remained unchanged. Spearman&#x2019;s correlation revealed positive associations between Iba1 and Trem2 immunoreactivities in 3-month-old <italic>Apoe</italic>-ko mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.0001, <italic>r</italic>&#x202F;=&#x202F;0.9184) and 3-month-old controls (<italic>p</italic>&#x202F;=&#x202F;0.033, <italic>r</italic>&#x202F;=&#x202F;0.4668). However, in 9-month-old <italic>Apoe</italic>-ko mice, a significant negative association was observed (<italic>p</italic>&#x202F;=&#x202F;0.0103, <italic>r</italic>&#x202F;=&#x202F;&#x2212;0.5468), with no significant correlation in 9-month-old controls (<xref ref-type="fig" rid="fig6">Figure 6F</xref>).</p>
<p><xref ref-type="supplementary-material" rid="SM7">Supplementary Figures S7A,B</xref> illustrated Trem2 expression with and without microglia/macrophage colocalization within the retinal layers of <italic>Apoe</italic>-ko and control mice at 3 and 9&#x202F;months of age. Trem2 and Iba1+ microglia/macrophage expression, with or without colocalization, was predominantly identified in the NFL-GCL.</p>
<p>Overall, 6E10+ APP/A&#x03B2; peptides and Gfap levels increased significantly in the retina of 9-month-old <italic>Apoe</italic>-ko mice compared to age-matched controls. In contrast, 6E10+ APP/A&#x03B2; peptides and Gfap levels were significantly reduced, while Iba1 expression was significantly increased, in 9-month-old controls compared to 3-month-old controls.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec26">
<label>4</label>
<title>Discussion</title>
<p>Effective therapies for AD remain elusive due to its complex, multifactorial nature. Despite the strong risk associated with the <italic>APOE4</italic> allele, the precise role of ApoE in AD remains unclear. Previous studies have demonstrated that ApoE, a key mediator of lipid transport in the brain, is downregulated in astrocytes in AD, indicating an imbalance in lipid metabolism (<xref ref-type="bibr" rid="ref22">Grubman et al., 2019</xref>; <xref ref-type="bibr" rid="ref48">Mathys et al., 2019</xref>). ApoE has anti-inflammatory and A&#x03B2;-metabolizing effects, making it a promising therapeutic target for AD (<xref ref-type="bibr" rid="ref35">Komai et al., 2024</xref>). To our knowledge, this is the first study to comprehensively investigate molecular and pathological changes in both brain and eye samples of <italic>Apoe</italic>-ko mouse model.</p>
<p>In our study, miRNA expression levels exhibited a consistent pattern across five distinct brain regions, with generally lower levels in 3-month-old <italic>Apoe</italic>-ko mice and higher levels in 9-month-old <italic>Apoe</italic>-ko mice. In contrast, target mRNAs were generally higher in 3-month-old <italic>Apoe</italic>-ko mice but decreased with age, except for glial cell mRNAs such as <italic>Gfap</italic> and <italic>Aif1</italic>, which did not follow this trend. Protein analysis revealed significantly upregulated 6E10+ APP/A&#x03B2; peptides in both the neocortex-hippocampus and retina of 9-month-old <italic>Apoe</italic>-ko mice compared to matched controls. Additionally, with aging, GFAP levels increased significantly in both the neocortex-hippocampus and the retina of <italic>Apoe</italic>-ko mice, while 6E10+ APP/A&#x03B2; peptides were significantly reduced in both the neocortex and hippocampus of control mice. These findings demonstrate the impact of ApoE dysfunction through the dysregulation of inflammatory and amyloidogenic/angiogenic miRNAs, the differential expression of glial cell mRNAs and proteins, and the increased accumulation of APP/A&#x03B2; peptides.</p>
<p>Our selection of miRNAs was guided by relevant literature and TargetScan analyses. miR-101-3p, which shares conserved seed regions with <italic>APP</italic>, <italic>SORL1</italic>, and <italic>VEGFA</italic>, is a well-known anti-amyloidogenic and angiogenic miRNA abundantly present in the brain (<xref ref-type="bibr" rid="ref57">Rogaeva et al., 2007</xref>; <xref ref-type="bibr" rid="ref61">Shao et al., 2010</xref>; <xref ref-type="bibr" rid="ref70">Vilardo et al., 2010</xref>; <xref ref-type="bibr" rid="ref45">Long and Lahiri, 2011</xref>; <xref ref-type="bibr" rid="ref13">DeRosa et al., 2022</xref>; <xref ref-type="bibr" rid="ref19">Fu et al., 2024</xref>). Similarly, miR-15a-5p and its family members (miRs &#x2212;16 and &#x2212;195), which share conserved seed regions with <italic>APP</italic>, <italic>BACE1</italic>, and <italic>VEGFA</italic>, have demonstrated anti-amyloidogenic and angiogenic properties (<xref ref-type="bibr" rid="ref41">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="ref86">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="ref8">Cao et al., 2021</xref>; <xref ref-type="bibr" rid="ref66">Sun et al., 2021</xref>; <xref ref-type="bibr" rid="ref49">Murgia et al., 2022</xref>). The proinflammatory miRNAs &#x2212;125b-5p, &#x2212;146a-5p, and &#x2212;34a-5p are implicated in AD and retinal degeneration through immune-mediated pathogenic responses (<xref ref-type="bibr" rid="ref5">Bhattacharjee et al., 2016</xref>; <xref ref-type="bibr" rid="ref88">Zhao et al., 2016</xref>; <xref ref-type="bibr" rid="ref54">Pogue and Lukiw, 2018</xref>; <xref ref-type="bibr" rid="ref14">Fan et al., 2020</xref>). miR-342-3p, which shares conserved seed regions with <italic>SORL1</italic> and <italic>CACNA1C</italic>, has shown consistent upregulation in APP-PS1 mouse brain tissue over time (<xref ref-type="bibr" rid="ref74">Wang et al., 2017</xref>) as well as in hippocampal samples from human AD patients and 3xTg AD mice (<xref ref-type="bibr" rid="ref18">Fu et al., 2019</xref>). miR-342 is also known for its anti-inflammatory properties (<xref ref-type="bibr" rid="ref91">Zheng et al., 2023</xref>; <xref ref-type="bibr" rid="ref89">Zhao and Li, 2024</xref>). We also selected miRNAs &#x2212;140-3p and -374c-5p based on our previous study (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>). miR-140-3p, which is abundant in the brain (<xref ref-type="bibr" rid="ref61">Shao et al., 2010</xref>), shares conserved seed regions with <italic>BACE1</italic>, <italic>BCL2</italic>, and <italic>SIRT1</italic>. miR-374c-5p targets several AD-associated genes, including <italic>APP</italic>, <italic>BACE1</italic>, <italic>PSEN1</italic>, <italic>CACNA1C</italic>, <italic>BCL2</italic>, and <italic>ATG12</italic>.</p>
<p>The tissue-specific abundance of miRNAs, their biological targets, and their efficient secretion into body fluids as disease advances all contribute to their potential as both biomarkers and therapeutic targets. In the tear fluid of 3-month-old <italic>Apoe</italic>-ko mice, only miR-146a showed significant upregulation. Over time, both amyloidogenic/angiogenic and inflammatory miRNAs increased substantially, suggesting elevated secretion into extracellular biofluids (<xref ref-type="fig" rid="fig2">Figure 2C</xref>). This pattern aligns with our previous findings in transgenic APP-PS1 mice, a preclinical model of AD (<xref ref-type="bibr" rid="ref78">Wijesinghe et al., 2023b</xref>). Notably, miRNAs -146a and -15a were consistently upregulated in the neocortex-hippocampus, eye tissue, and tear fluid of 9-month-old <italic>Apoe</italic>-ko mice compared to controls. Increased secretion of these miRNAs has been reported in AD patient cerebrospinal fluid (CSF) (<xref ref-type="bibr" rid="ref46">Lukiw et al., 2012</xref>; <xref ref-type="bibr" rid="ref64">S&#x00F8;rensen et al., 2016</xref>). CSF drains into the lymphatic system via lymphatic ducts adjacent to the olfactory tract as it traverses the cribriform plate, while lymphatic drainage from the orbit and its associated structures remains under investigation (<xref ref-type="bibr" rid="ref47">Machiele et al., 2024</xref>; <xref ref-type="bibr" rid="ref1">Adigun and AI-Dhahir, 2023</xref>). However, the functional similarities between CSF and tear fluid suggest potential commonalities (<xref ref-type="bibr" rid="ref38">Kr&#x00F3;l-Grzyma&#x0142;a et al., 2022</xref>). Thus, the upregulation of proinflammatory miR-146a and anti-amyloidogenic/angiogenic miR-15a in tear fluid may indicate their translational potential as non-invasive biomarkers for ApoE dysfunction.</p>
<p>Population-based studies consistently demonstrate that the <italic>APOE4</italic> allele is associated with a reduced risk of age-related macular degeneration (AMD, a retinal degenerative disease) (<xref ref-type="bibr" rid="ref79">Xiying et al., 2017</xref>; <xref ref-type="bibr" rid="ref55">Rasmussen et al., 2023</xref>), which is in contrast to its known association with increased risk for AD. Interestingly, our findings in 9-month-old <italic>Apoe</italic>-ko mice on high-fat versus regular diets shed light on <italic>APOE4</italic>&#x2019;s role through miRNA dysregulation. On a high-fat diet, inflammatory miRNAs -125b, &#x2212;146a, and &#x2212;342 were significantly upregulated in both neocortex-hippocampus and eye tissues. Conversely, anti-amyloidogenic/angiogenic miRNAs &#x2212;101a and &#x2212;374c were significantly downregulated in the neocortex-hippocampus, indicating potential AD risk, while anti-amyloidogenic/angiogenic miRNAs &#x2212;15a and &#x2212;374c were significantly upregulated in the eye tissues, suggesting a protective effect in AMD. Notably, tear fluid miRNA levels showed no significant differences between high-fat and regular diet groups, as comparisons were limited to <italic>Apoe</italic>-ko strains. Previous studies typically use C57BL/6&#x202F;J mice on a high-fat diet as controls for high-fat diet <italic>Apoe</italic>-ko mice (<xref ref-type="bibr" rid="ref7">Cao et al., 2020</xref>).</p>
<p>APP is primarily associated with neurons but is also expressed in brain endothelial cells and astrocytes, though to a lesser extent (<xref ref-type="bibr" rid="ref24">Hampel et al., 2021</xref>; <xref ref-type="bibr" rid="ref72">Wang et al., 2021</xref>). We identified intraneuronal inclusions of APP/A&#x03B2; peptides in brain and retinal tissues, as well as in brain endothelial cells at the meninges (<xref ref-type="fig" rid="fig5">Figures 5A</xref>, <xref ref-type="fig" rid="fig6">6A</xref> and <xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4</xref>, <xref ref-type="supplementary-material" rid="SM6">S6</xref>). Under normal homeostasis, APP is sequentially cleaved to produce A&#x03B2; peptides, which are cleared through various mechanisms, including phagocytosis by immune cells, transport across the blood&#x2013;brain barrier (BBB), and interstitial fluid pathways like the glymphatic and perivascular drainages (<xref ref-type="bibr" rid="ref51">O&#x2019;Brien and Wong, 2011</xref>; <xref ref-type="bibr" rid="ref92">Zuroff et al., 2017</xref>; <xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). An imbalance between APP/A&#x03B2; peptide production and clearance results in the aggregation of neurotoxic oligomers and plaques (<xref ref-type="bibr" rid="ref24">Hampel et al., 2021</xref>; <xref ref-type="bibr" rid="ref72">Wang et al., 2021</xref>). Moreover, previous studies suggest that soluble A&#x03B2; species contribute significantly to cognitive impairment and synaptic toxicity in AD, acting earlier and independently of A&#x03B2; plaques and tau (<xref ref-type="bibr" rid="ref6">Bloom, 2014</xref>; <xref ref-type="bibr" rid="ref36">Koss et al., 2016</xref>; <xref ref-type="bibr" rid="ref24">Hampel et al., 2021</xref>; <xref ref-type="bibr" rid="ref72">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="ref26">Haynes et al., 2024</xref>).</p>
<p>We maintained consistent, high-resolution confocal microscopy settings for both negative controls and experimental samples, enabling clear comparisons of 6E10+ APP/A&#x03B2; peptide labeling between <italic>Apoe</italic>-ko and control mice in brain and retinal tissues, and their clearance over time relative to glial cell markers (<xref ref-type="fig" rid="fig5">Figures 5</xref>, <xref ref-type="fig" rid="fig6">6</xref>, and <xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4</xref>&#x2013;<xref ref-type="supplementary-material" rid="SM7">S7</xref>). The 6E10 antibody, which binds APP and A&#x03B2; at the 1&#x2013;16 amino acid region, including plaques. Our previous study involving 5xFAD and C57BL/6&#x202F;J mice demonstrated the presence of 6E10+ APP/A&#x03B2; peptides in neuroretina samples and observed treatment-induced changes (<xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). Although developed for human APP/A&#x03B2; peptides, 6E10 also binds mouse APP/A&#x03B2; due to shared epitopes (<xref ref-type="bibr" rid="ref85">Youmans et al., 2012</xref>; <xref ref-type="bibr" rid="ref24">Hampel et al., 2021</xref>; <xref ref-type="bibr" rid="ref81">Yamamoto et al., 2021</xref>; <xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>). This was confirmed using a knockout-validated anti-rabbit monoclonal APP antibody, verifying APP presence in the neocortex-hippocampus and retina of <italic>Apoe</italic>-ko and control mice (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S4</xref>, <xref ref-type="supplementary-material" rid="SM6">S6</xref>). For further validation, we included a mouse monoclonal 12F4 antibody, targeting A&#x03B2; 1&#x2013;42 amino acid residues. In brain tissue, 12F4 labeled only the endothelial cells in the meninges (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure S4J</xref>), while in the retina, it labeled the ILM, possibly reflecting soluble A&#x03B2; related to glymphatic clearance (<xref ref-type="bibr" rid="ref77">Wijesinghe et al., 2023a</xref>) and an A&#x03B2; plaque-like deposit in the INL (<xref ref-type="supplementary-material" rid="SM6">Supplementary Figure S6D</xref>). Notably, despite being a mouse monoclonal antibody, 12F4 did not label any intraneuronal A&#x03B2; species.</p>
<p>The relationship between ApoE and A&#x03B2; clearance is complex, influenced by ApoE isoforms, lipidation status, and interactions with various proteins and receptors. ApoE binds to receptors like LRP1 (LDL receptor-related protein 1) at the BBB to aid in clearing soluble A&#x03B2; (<xref ref-type="bibr" rid="ref72">Wang et al., 2021</xref>). It also acts as a ligand promoting microglial phagocytosis of insoluble A&#x03B2;. Regardless of the isoform, ApoE is recognized as a TREM2 ligand <italic>in vitro</italic>, potentially stimulating TREM2 functions (<xref ref-type="bibr" rid="ref30">Huynh et al., 2017</xref>; <xref ref-type="bibr" rid="ref32">Jendresen et al., 2017</xref>; <xref ref-type="bibr" rid="ref37">Krasemann et al., 2017</xref>; <xref ref-type="bibr" rid="ref84">Yeh et al., 2017</xref>). The TREM2-ApoE pathway is crucial for regulating microglial activity in neurodegenerative diseases and may help restore homeostatic microglia (<xref ref-type="bibr" rid="ref37">Krasemann et al., 2017</xref>). ApoE deficiency impacts microglial recruitment to A&#x03B2; plaques, a phenotype similar to TREM2 deficiency (<xref ref-type="bibr" rid="ref68">Ulrich et al., 2018</xref>; <xref ref-type="bibr" rid="ref90">Zhao et al., 2018</xref>). In our study, cells expressing Trem2 were identified beyond colocalization with Iba1+ microglia/macrophages (<xref ref-type="supplementary-material" rid="SM5">Supplementary Figures S5</xref>, <xref ref-type="supplementary-material" rid="SM7">S7</xref>). This may result from soluble TREM2 binding to ligands on apoptotic neurons, facilitating TREM2-mediated phagocytosis (<xref ref-type="bibr" rid="ref28">Hsieh et al., 2009</xref>). Additionally, compared to age-matched controls, 9-month-old <italic>Apoe</italic>-ko mice showed significantly higher levels of APP/A<italic>&#x03B2;</italic> peptides in the neocortex-hippocampus and retina, underscoring the essential role of ApoE in APP/A&#x03B2; clearance compared to Trem2.</p>
<p>Unlike transgenic models that replicate familial AD or overexpress pathological traits, we used <italic>Apoe</italic>-ko mice to study mechanisms relevant to human <italic>APOE4</italic> carriers, who are at higher risk for late-onset AD. Previous studies on aging human brains without a family history of AD showed significantly increased A&#x03B2; depositions in <italic>APOE4</italic> carriers (<xref ref-type="bibr" rid="ref75">Wijesinghe et al., 2016</xref>; <xref ref-type="bibr" rid="ref27">Hong et al., 2022</xref>). In this study, 9-month-old <italic>Apoe</italic>-ko mice, which resembles <italic>APOE4</italic> carriers (<xref ref-type="bibr" rid="ref31">Janssen et al., 2016</xref>), exhibited higher APP/A&#x03B2; peptide levels, indicating impaired clearance, whereas matched control mice had lower levels, suggesting efficient clearance. The relationship between ApoE dysfunction, miRNA dysregulation, and AD-related pathology highlights complex genetic and molecular mechanisms. ApoE deficiency not only disrupts lipid metabolism, APP/A&#x03B2; peptide clearance, and glial homeostasis but also interacts with specific miRNAs, influencing disease progression and severity. These findings emphasize the critical role of ApoE and reveal miRNA biomarkers associated with ApoE dysfunction, paving the way for personalized treatments.</p>
<p>This study has some limitations, including a small sample size, a focus on female mice, and analysis at only two time points (3 and 9&#x202F;months). We determined the sample size using the resource equation method to test our hypothesis. Since age, female sex, and genetic predispositions are non-modifiable AD risk factors, we focused on female mice. We limited our analysis to 3- and 9-month time points to investigate early changes in tear fluids as potential non-invasive biomarkers. Additionally, we compared <italic>Apoe</italic>-ko mice on a high-fat and regular diets to assess diet-based miRNA and mRNA dysregulations, but not protein levels.</p>
</sec>
<sec sec-type="conclusions" id="sec27">
<label>5</label>
<title>Conclusion</title>
<p>Our study underscores ApoE&#x2019;s role in AD pathogenesis through impaired glial homeostasis, potentially due to ApoE deficiency, increased APP/A&#x03B2; peptide accumulation, and disrupted lipid metabolism. The dysregulation of circulating inflammatory and amyloidogenic/angiogenic miRNAs in <italic>Apoe</italic>-ko mice at both 3-month-old and 9-month-old ages suggests the potential for developing tear-based biomarkers for individuals with the ApoE dysfunction.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec28">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec29">
<title>Ethics statement</title>
<p>The animal study was approved by University of British Columbia Animal Care Committee (A20-0150) and Biosafety Committee (B20-0074) Recommendations. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec30">
<title>Author contributions</title>
<p>PW: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Visualization, Writing &#x2013; original draft. HL: Investigation, Methodology, Validation, Writing &#x2013; review &#x0026; editing. ZA: Investigation, Methodology, Validation, Visualization, Writing &#x2013; review &#x0026; editing. MC: Investigation, Methodology, Validation, Visualization, Writing &#x2013; review &#x0026; editing. SC: Investigation, Methodology, Validation, Writing &#x2013; review &#x0026; editing. JX: Data curation, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. WP: Funding acquisition, Resources, Writing &#x2013; review &#x0026; editing. JM: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec31">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the grants from Alzheimer Society of Canada and Brain Canada, Canadian Institute of Health Research, National Sciences and Engineering Research Council of Canada, and National Institutes of Health-NIA R01 AG061138.</p>
</sec>
<ack>
<p>We would like to thank our past lab manager, Eleanor To, and our current lab manager, Grace Kuo, for their timely assistance in placing orders during the experimental processes. We greatly appreciate Dr. Jing Cui for facilitating mice harvest and the volunteer student Tina Chen for sectioning paraffin blocks to facilitate immunofluorescence staining.</p>
</ack>
<sec sec-type="COI-statement" id="sec32">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec33">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec34">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnagi.2024.1495615/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnagi.2024.1495615/full#supplementary-material</ext-link></p>
<supplementary-material id="SM1" xlink:href="Image_1.tif" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S1</label>
<caption>
<p>Relative mRNA expression level in the neocortex-hippocampus. Column graphs illustrate the mean 2<sup>-&#x2206;Ct</sup> values across 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls. Pooled neocortex-hippocampus tissue samples (<italic>n</italic> = 4 per group) were used to determine relative mRNA levels. Differentially expressed target mRNAs are defined based on a 1.5-fold or greater intergroup difference and a significant <italic>P</italic> value at &#x002A;<italic>P</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>P</italic> &#x003C; 0.001, and &#x002A;&#x002A;&#x002A;&#x002A;<italic>P</italic> &#x003C; 0.0001 (2-way ANOVA with Bonferroni corrected multiple comparisons test). Error bars indicate the standard error of the mean.</p>
</caption>
</supplementary-material>
<supplementary-material id="SM2" xlink:href="Image_2.tif" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S2</label>
<caption>
<p>Relative mRNA expression level in the eye tissue. Column graphs illustrate mean 2<sup>-&#x2206;Ct</sup>&#x202F;value across 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls. Pooled eye tissue sample (<italic>n</italic> = 4 per group) was used to determine the relative mRNA level. Differentially expressed target mRNA is defined based on a 1.5-fold and above intergroup difference and a sigficant <italic>P</italic> value at &#x002A;<italic>P</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.001, and &#x002A;&#x002A;&#x002A;&#x002A;<italic>P</italic> &#x003C; 0.0001 (2-way ANOVA with Bonferroni corrected multiple comparisons test). Error bars indicate the standard error of the mean.</p>
</caption>
</supplementary-material>
<supplementary-material id="SM3" xlink:href="Image_3.TIF" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S3</label>
<caption>
<p>Relative mRNA expression level in the eye tissue of high fat diet <italic>Apoe</italic>-ko mice compared with regular diet <italic>Apoe</italic>-ko mice. Column graphs illustrate the mean 2<sup>-&#x2206;Ct</sup> values between high-fat and regular diet 9-month-old <italic>Apoe</italic>-ko mice. Pooled eye tissue samples (<italic>n</italic> = 4-5 per group) were used to determine relative mRNA levels. Differentially expressed target mRNA is defined based on a 1.5-fold and above intergroup difference and a significant <italic>P</italic> value at &#x002A;&#x002A;<italic>P</italic> &#x003C; 0.001, and &#x002A;&#x002A;&#x002A;<italic>P</italic> &#x003C; 0.001 (Unpaired t-test, 2-tailed). Error bars indicate the standard error of the mean. (HFD- high fat diet; RD- regular diet).</p>
</caption>
</supplementary-material>
<supplementary-material id="SM4" xlink:href="Image_4.TIF" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S4</label>
<caption>
<p>Differences in APP/A&#x03B2; peptide and astroglia expression in the neocortex-hippocampus of <italic>Apoe</italic>-ko and control mice. <bold>(A)</bold> Negative control demonstrating the absence of APP/A&#x03B2; peptides and astroglia in the hippocampal and neocortical regions. Higher magnification images depict 6E10+ APP/A&#x03B2; peptides in the <bold>(B)</bold> CA region (white dashed box), <bold>(F)</bold> neocortex (white arrowheads), and <bold>(H)</bold> meninges (red arrowheads). White dashed circles indicate 6E10-negative cells. <bold>(C,G,I)</bold> APP presence was verified using a rabbit monoclonal APP antibody. <bold>(D,J)</bold> A mouse monoclonal antibody, 12F4, specific to the 1-42 amino acid residues of A&#x03B2; peptides, showed positive signals only in the meninges (red arrowheads). <bold>(E,K)</bold> Expression patterns of 6E10+ APP/A&#x03B2; peptides in the hippocampal CA1 region and neocortex of 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls. (Scale bar: 20 &#x03BC;m).</p>
</caption>
</supplementary-material>
<supplementary-material id="SM5" xlink:href="Image_5.TIF" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S5</label>
<caption>
<p>Trem2 expression with and without microglial colocalization in the neocortex and hippocampus of <italic>Apoe</italic>-ko and control mice. <bold>(A&#x2013;C)</bold> Colocalization of microglia expressing Trem2 receptors (yellow arrowheads) and cells expressing only Trem2 (white dashed circles) in the hippocampal dentate gyrus, CA1 region, and neocortex. <bold>(D,E)</bold> Expression patterns of Trem2 and Iba1+ microglia in <italic>Apoe</italic>-ko and control mice in the CA1 region of the hippocampus and the neocortex, respectively. White dashed circles (in green channel) indicate cells expressing only Trem2, while yellow arrowheads indicate Iba1+ microglia expressing Trem2 (in both green and red channels). (Scale bar: 20 &#x03BC;m).</p>
</caption>
</supplementary-material>
<supplementary-material id="SM6" xlink:href="Image_6.TIF" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S6</label>
<caption>
<p>Differences in APP/A&#x03B2; peptide and astroglial expression in the retina of <italic>Apoe</italic>-ko and control mice. <bold>(A)</bold> Negative control demonstrating the absence of APP/A&#x03B2; peptides and astroglia across retinal layers. <bold>(B)</bold> Higher magnification images showing 6E10+ APP/A&#x03B2; peptides predominantly within the GCL. <bold>(C)</bold> The presence of 6E10+ APP was confirmed using a rabbit monoclonal APP antibody in the GCL. A white dashed circle highlights diffuse deposition within the GCL in panels <bold>(B,C)</bold>. <bold>(D)</bold> Additionally, 12F4 showed positive signals at the inner limiting membrane (ILM). The white dashed circle indicates a 12F4+ A&#x03B2; plaque-like deposition within the INL in panel D. <bold>(E,F)</bold> Expression patterns of 6E10+ APP/A&#x03B2; peptides within the central and peripheral retinas of 3-month-old and 9-month-old <italic>Apoe</italic>-ko mice and controls. White dashed boxes highlight the localization of 6E10+ APP/A&#x03B2; peptides within the GCL in both central and peripheral retinas. (Scale bar: 20 &#x03BC;m) (NFL, nerve fiber layer; GCL, ganglion cell layer; IPL, inner plexiform layer; INL, inner nuclear layer; OPL, outer plexiform layer; ONL, outer nuclear layer).</p>
</caption>
</supplementary-material>
<supplementary-material id="SM7" xlink:href="Image_7.TIF" mimetype="image/tiff" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE S7</label>
<caption>
<p>Trem2 expression with and without microglia/macrophage colocalization across the retinal layers of <italic>Apoe</italic>-ko and control mice. <bold>(A,B)</bold> Expression patterns of Trem2 and Iba1+ microglia/macrophages in <italic>Apoe</italic>-ko and control mice are shown for the central and peripheral retinas, respectively. White dashed boxes indicate retinal layers expressing Trem2, while yellow arrowheads indicate Iba1+ microglia/macrophages within the retinal layers. Trem2 and Iba1+ microglia/macrophage expression, with or without colocalization, was predominantly identified in the NFL-GCL, followed by the OPL. (Scale bar: 20 &#x03BC;m) (NFL: nerve fiber layer; GCL: ganglion cell layer; IPL: inner plexiform layer; INL: inner nuclear layer; OPL: outer plexiform layer; ONL: outer nuclear layer).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.XLSX" id="SM8" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.XLSX" id="SM9" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.XLSX" id="SM10" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<supplementary-material xlink:href="Table_5.XLSX" id="SM12" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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</sec>
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